HYPER-HEURISTICS BIBLIOGRAPHY

[J]: Journal, [B]: Book (+Chapter), [C]: Conference, [W]: Workshop [P]: Poster [T]: Thesis [R]: Report

Another HH bibliography resource: http://www.cs.nott.ac.uk/~gxo/hhbibliography.html
DBLP HH bibliography: http://www.dblp.org/search/index.php#query=hyper-heuristic|hyperheuristic
HH related bibliography: http://allserv.kahosl.be/~mustafa.misir/ap.html
Another HH related bibliography (algorithm selection): http://4c.ucc.ie/~larsko/assurvey/
HH Wiki: http://en.wikipedia.org/wiki/Hyper-heuristic

2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999
[ YEAR: 2014 ]   {#}

  • [J] Rodrigo C. Barros, Marcio P. Basgalupp, Andre C.P.L.F. de Carvalho, Investigating Fitness Functions for a Hyper-heuristic Evolutionary Algorithm in the Context of Balanced and Imbalanced Data Classification, Genetic Programming and Evolvable Machines, Springer, to appear.  [PDF] [PS]
  • [J] Dongni Li, Miao Li, Xianwen Meng, Yunna Tian, A Hyperheuristic Approach for Intercell Scheduling With Single Processing Machines and Batch Processing Machines, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, to appear.  [PDF] [PS]
  • [J] Mustafa Misir, Pieter Smet, Greet Vanden Berghe, An Analysis of Generalised Heuristics for Vehicle Routing and Personnel Rostering Problems, Journal of the Operational Research Society, Palgrave Macmillan, to appear.  [PDF] [PS]
  • [J] Nelishia Pillay, A Review of Hyper-heuristics for Educational Timetabling, Annals of Operations Research, Springer, to appear.  [PDF] [PS] [SURVEY]
  • [J] Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu, Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems, IEEE Transactions on Cybernetics, IEEE, to appear.  [PDF] [PS]
  • [J] Kevin Sim, Emma Hart, Ben Paechter, A Lifelong Learning Hyper-heuristic Method for Bin Packing, Evolutionary Computation, MIT, to appear.  [PDF] [PS]
  • [J] Zhilei Ren, He Jiang, Jifeng Xuan, Yan Hu, Zhongxuan Luo, New Insights Into Diversification of Hyper-Heuristics, IEEE Transactions on Cybernetics, IEEE, to appear.  [PDF] [PS]
  • [J] Zhilei Ren, He Jiang, Jifeng Xuan, Yan Hu, Zhongxuan Luo, New Insights Into Diversification of Hyper-Heuristics, IEEE Transactions on Cybernetics, IEEE, to appear.  [PDF] [PS]
  • [J] Eduardo Segredo, Carlos Segura, Coromoto Leon, Emma Hart, A Fuzzy Logic Controller Applied to a Diversity-based Multi-objective Evolutionary Algorithm for Single-objective Optimisation, Soft Computing, Springer, to appear.  [PDF] [PS]
  • [J] Yu-Jun Zheng, Min-Xia Zhang, Hai-Feng Ling, Sheng-Yong Chen, Emergency Railway Transportation Planning Using a Hyper-Heuristic Approach, IEEE Transactions on Intelligent Transportation Systems, IEEE, to appear.  [PDF] [PS]
  • [J] Edmund Burke, Rong Qu, Amr Soghier, Adaptive Selection of Heuristics for Improving Exam Timetables, Annals of Operations Research, 218(1), Springer, 2014.  [PDF] [PS]
  • [J] Jose-Matias Cutillas-Lozano, Domingo Gimenez, Optimizing Shared-memory Hyperheuristics on Top of Parameterized Metaheuristics, Procedia Computer Science, 29, Elsevier, 2014.  [PDF] [PS]
  • [J] Ahmed Kheiri, Ender Ozcan, Constructing Constrained-Version of Magic Squares Using Selection Hyper-heuristics, the Computer Journal, 57(3), Oxford Journals, 2014.  [PDF] [PS]
  • [J] Behrooz Koohestani, Riccardo Poli, Evolving an Improved Algorithm for Envelope Reduction Using a Hyper-Heuristic Approach, IEEE Transactions on Evolutionary Computation, 18(4), IEEE, 2014.  [PDF] [PS]
  • [J] Georgios Koulinas, Lazaros Kotsikas, Konstantinos Anagnostopoulos, A Particle Swarm Optimization based Hyper-heuristic Algorithm for the Classic Resource Constrained Project Scheduling Problem, Information Sciences, 277, Elsevier, 2014.  [PDF] [PS]
  • [J] Eunice López-Camacho, Hugo Terashima-Marin,Peter Ross, Gabriela Ochoa, A Unified Hyper-heuristic Framework for Solving Bin Packing Problems, Expert Systems with Applications, 41(15), Elsevier, 2014.  [PDF] [PS]
  • [J] Mashael Maashi, Ender Ozcan, Graham Kendall, A Multi-objective Hyper-heuristic based on Choice Function, Expert Systems with Applications, 41(9), Elsevier, 2014.  [PDF] [PS]
  • [J] Kent McClymont, Edward C. Keedwell, Dragan Savic, Mark Randall-Smith, Automated Construction of Evolutionary Algorithm Operators for the Bi-objective Water Distribution Network Design Problem using a Genetic Programming based Hyper-heuristic Approach, Journal of Hydroinformatics, 16(2), IWA Publishing, 2014.  [PDF] [PS]
  • [J] Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan, Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming, IEEE Transactions on Evolutionary Computation, 18(2), IEEE, 2014.  [PDF] [PS]
  • [J] Gisele L. Pappa, Gabriela Ochoa, Matthew Hyde, Alex Freitas, John Woodward, Jerry Swan, Contrasting Meta-learning and Hyper-heuristic Research: the Role of Evolutionary Algorithms, Genetic Programming and Evolvable Machines, 15(1), Springer, 2014.  [PDF] [PS]
  • [J] S. Salcedo-Sanz, J. M. Matías-Roman, S. Jiménez-Fernandez, A. Portilla-Figueras, L. Cuadra, An Evolutionary-based Hyper-heuristic Approach for the Jawbreaker Puzzle, Applied Intelligence, 40(3), Springer, 2014.  [PDF] [PS]
  • [J] Abdellah Salhi, José Antonio Vázquez Rodríguez, Tailoring Hyper-heuristics to Specific Instances of a Scheduling Problem Using Affinity and Competence Functions, Memetic Computing, 6(2), Springer, 2014.  [PDF] [PS]
  • [J] Eduardo Segredo, Carlos Segura, Coromoto Leon, Memetic Algorithms and Hyperheuristics Applied to a Multiobjectivised Two-dimensional Packing Problem, Journal of Global Optimization, 58(4), Springer, 2014.  [PDF] [PS]
  • [J] Wen Shi, Xueyan Song, Jizhou Sun, Dynamic Hyper-Heuristic Based on Scatter Search for the Aircraft Landing Scheduling Problem, IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, E97-A(10), IEICE, 2014.  [PDF] [PS]
  • [J] Jorge A. Soria-Alcaraz, Gabriela Ochoa, Jerry Swan, Martin Carpio, Hector Puga, Edmund K. Burke, Effective learning hyper-heuristics for the course timetabling problem, European Journal of Operational Research, 238(1), Elsevier, 2014.  [PDF] [PS]
  • [J] Jerry Swan, John Woodward, Ender Ozcan, Graham Kendall, Edmund Burke, Searching the Hyper-heuristic Design Space, Cognitive Computation, 6(1), Springer, 2014.  [PDF] [PS]
  • [J] Aleksandra Swiercz, Edmund K. Burke, Mateusz Cichenski, Grzegorz Pawlak, Sanja Petrovic, Tomasz Zurkowski, Jacek Blazewicz, Unified Encoding for Hyper-heuristics with Application to Bioinformatics, Central European Journal of Operations Research, 22(3), Springer, 2014.  [PDF] [PS]
  • [J] Jaya Thomas, Narendra S. Chaudhari, Design of Efficient Packing System using Genetic Algorithm based on Hyper heuristic Approach, Advances in Engineering Software, 73, Elsevier, 2014.  [PDF] [PS]
  • [J] Haluk Rahmi Topcuoglu, Abdulvahid Ucar, Lokman Altin, A Hyper-heuristic based Framework for Dynamic Optimization Problems, Applied Soft Computing, 19,, Elsevier, 2014.  [PDF] [PS]
  • [J] Chun-Wei Tsai, W Huang, M Chiang, C Yang, A Hyper-Heuristic Scheduling Algorithm for Cloud, IEEE Transactions on Cloud Computing, 2(2), IEEE, 2014.  [PDF] [PS]
  • [J] Abd Aziz Zalilah, The Effect of Pheromone in Ant-Based Hyper-Heuristic, Advanced Research in Material Science and Mechanical Engineering, 446-447 (2014), Trans Tech, 2014.  [PDF] [PS]
  • [J] C. E. Nugraheni, L. Abednego, A Combined Meta-Heuristic with Hyper-Heuristic Approach to Single Machine Production Scheduling Problem, International Journal of Computer, Information, Systems and Control Engineering, 8(8), WASET, 2014.  [PDF] [PS]
  • [B] Peter Ross, Hyper-heuristics, Search Methodologies, Springer, 2014.  [PDF] [PS] [TUTORIAL]
  • [C] Steven Adriaensen, Tim Brys, Ann Nowe, Fair-Share ILS: A Simple State-of-the-Art Iterated Local Search Hyperheuristic, the 16th Annual Conference on Genetic and Evolutionary Computation (GECCO14), Voncouver/BC, Canada, 2014.  [PDF] [PS] [PPT]
  • [C] Khairul Anwar, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Development on Harmony Search Hyper-heuristic Framework for Examination Timetabling Problem, the 5th International Conference on Swarm Intelligence (ICSI14), Hefei/Anhui, China, 2014.  [PDF] [PS] [PPT]
  • [C] Shahriar Asta, Ender Ozcan, A Tensor-based Approach to Nurse Rostering, the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT14), York, UK, 2014.  [PDF] [PS] [PPT]
  • [C] Marcio Porto Basgalupp, Rodrigo Coelho Barros, Tiago Barabasz, A Grammatical Evolution Based Hyper-Heuristic for the Automatic Design of Split Criteria, the 16th Annual Conference on Genetic and Evolutionary Computation (GECCO14), Voncouver/BC, Canada, 2014.  [PDF] [PS] [PPT]
  • [C] Jose-Matias Cutillas-Lozano1, Francisco Almeida, Domingo Gimenez, Hyperheuristics based on Parameterized Metaheuristic Schemes, the International Conference on Metaheuristics and Nature Inspired Computing (META14), Marrakech, Morocco, 2014.  [PDF] [PS] [PPT]
  • [C] Yanira Gonzalez Gonzalez, Coromoto León Hernández, Gara Miranda Valladares, A Hyper-Heuristic Approach to Solve the Multi-Objective Container Loading Problem, the International Conference on Metaheuristics and Nature Inspired Computing (META14), Marrakech, Morocco, 2014.  [PDF] [PS] [PPT]
  • [C] Emma Hart, Kevin Sim, On the Life-long Learning Capabilities of a NELLI*: a Hyper-heuristic Optimisation System, the 13th International Conference on Parallel Problem Solving From Nature (PPSN14), Ljubljana, Slovenia, 2014.  [PDF] [PS] [PPT]
  • [C] Mourad Lassouaoui, Dalila Boughaci, Belaid Benhamou, A Hyper-Heuristic method for MAX-SAT, the International Conference on Metaheuristics and Nature Inspired Computing (META14), Marrakech, Morocco, 2014.  [PDF] [PS] [PPT]
  • [C] Mustafa Misir, Hoong Chuin Lau, Diversity-Oriented Bi-Objective Hyper-heuristics for Patrol Scheduling, the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT14), York, UK, 2014.  [PDF] [PS] [PPT]
  • [C] Gabriela Ochoa, Edmund Burke, HyperILS: An Effective Iterated Local Search Hyperheuristic for Combinatorial Optimisation, the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT14), York, UK, 2014.  [PDF] [PS] [PPT]
  • [C] Christopher Rae, Nelishia Pillay, Investigation into an Evolutionary Algorithm Hyperheuristic for the Nurse Rostering Problem, the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT14), York, UK, 2014.  [PDF] [PS] [PPT]
  • [C] Alex de Sá, Gisele Pappa, A Hyper-heuristic Evolutionary Algorithm for Learning Bayesian Network Classifiers, the the 14th Ibero-American Conference on Artificial Intelligence (IBERAMIA14), Santiago, Chile, 2014.  [PDF] [PS] [PPT]
  • [C] Kevin Sim, Emma Hart, A Lifelong Learning Hyper-Heuristic Method for Bin Packing, the 16th Annual Conference on Genetic and Evolutionary Computation (GECCO14), Voncouver/BC, Canada, 2014.  [PDF] [PS] [PPT]
  • [C] Kevin Sim, Emma Hart, An Improved Immune Inspired Hyper-Heuristic for Combinatorial Optimisation Problems, the 16th Annual Conference on Genetic and Evolutionary Computation (GECCO14), Voncouver/BC, Canada, 2014.  [PDF] [PS] [PPT]
  • [C] Enrique Urra, Daniel Cabrera-Paniagua, Claudio Cubillos, Towards a Distributed Hyperheuristic Deploy Architecture, the 7th Euro American Conference on Telematics and Information Systems (EATIS14), Valparaiso, Chile, 2014.  [PDF] [PS] [PPT]
  • [C] Dalila Boughaci, Mourad Lassouaoui, Stochastic Hyper-Heuristic for the Winner Determination Problem in Combinatorial Auctions, the 6th International Conference on Management of computational and collective IntElligence in Digital EcoSystems (MEDES14), Buraidah Al Qassim, Saudi Arabia, 2014.  [PDF] [PS] [PPT]
  • [C] J. Xie, Y. Mei, A. Ernst, X. Li, A. Song, A Genetic Programming-based Hyper-heuristic Approach for Storage Location Assignment Problem, the IEEE Congress of Evolutionary Computation (CEC14), Beijing, China, 2014.  [PDF] [PS] [PPT]
  • [W] Alexander E. I. Brownlee, Jerry Swan, Ender Ozcan, Andrew J. Parkes, Hyperion2: A Toolkit for Meta-Hyper Heuristic Research, the Workshop on Evolutionary Computation Software Systems (EvoSoft), the 16th Annual Conference on Genetic and Evolutionary Computation (GECCO14), Voncouver/BC, Canada, 2014.  [PDF] [PS] [PPT]
  • [W] Matthew A. Martin, Daniel R. Tauritz, A Problem Configuration Study of the Robustness of a Black-Box Search Algorithm Hyper-Heuristic, the 4th Workshop on Evolutionary Computation for the Automated Design of Algorithms (ECADA), the 16th Annual Conference on Genetic and Evolutionary Computation (GECCO14), Voncouver/BC, Canada, 2014.  [PDF] [PS] [PPT]
  • [W] Chao Yang, Shuming Peng, Bin Jiang, Lei Wang, Renfa Li, Hyper-Heuristic Genetic Algorithm for Solving Frequency Assignment Problem in TD-SCDMA, the Workshop on Problem Understanding and Real-World Optimisation (PURO), the 16th Annual Conference on Genetic and Evolutionary Computation (GECCO14), Voncouver/BC, Canada, 2014.  [PDF] [PS] [PPT]
  • [W] John R. Woodward, Jerry Swan, Template Method Hyper-Heuristics, the Workshop on Metaheuristic Design Patterns (MetaDeeP), the 16th Annual Conference on Genetic and Evolutionary Computation (GECCO14), Voncouver/BC, Canada, 2014.  [PDF] [PS] [PPT]
  • [T] Jonathan George Allen, A Framework for Hyper-Heuristic Optimisation of Conceptual Aircraft Structural Designs, PhD Thesis, School of Engineering and Computing Sciences, Durham University, 2014.  [PDF] [PS]
  • [T] John Drake, Crossover Control in Selection Hyper-Heuristics: Case Studies Using MKP and HyFlex, PhD Thesis, School of Computer Science, University of Nottingham, 2014.  [PDF] [PS]
  • [T] Ahmed Kheiri, Multi-stage Hyper-heuristics for Optimisation Problems, PhD Thesis, School of Computer Science, University of Nottingham, 2014.  [PDF] [PS]
  • [T] Berna Kiraz, Hyper-heuristics in Dynamic Environments, PhD Thesis, Department of Computer Engineering, Istanbul Technical University, 2014.  [PDF] [PS]
  • [T] Mashael Maashi, An Investigation of Multi-objective Hyper-heuristics for Multi-objective Optimisation, PhD Thesis, School of Computer Science, University of Nottingham, 2014.  [PDF] [PS]
  • [T] Sarah Brown, Scheduling an Automotive Manufacturing Facility Using Hyper-Heuristics, MSc Thesis, Department of Mathematics, University of Guelph, 2014.  [PDF] [PS]

[ YEAR: 2013 ]   {#}

  • [J] Nasser R. Sabar, Masri Ayob, Graham Kendall, Rong Qu, Grammatical Evolution Hyper-heuristic for Combinatorial Optimization Problems, IEEE Transactions on Evolutionary Computation, 17(6), IEEE, 2013.  [PDF] [PS]
  • [J] Morteza Alinia Ahandani, Mohammad Taghi Vakil Baghmisheh, Hybridizing Genetic Algorithms and Particle Swarm Optimization Transplanted into a Hyper-Heuristic System for Solving University Course Timetabling Problem, WSEAS Transactions on Computers, 12(3), WSEAS, 2013.  [PDF] [PS]
  • [J] Jonathan Allen, Graham Coates, Jon Trevelyan, A Hyper-heuristic Approach to Aircraft Structural Design Optimization, Structural and Multidisciplinary Optimization, 48(4), Springer, 2013.  [PDF] [PS]
  • [J] Rajni Aron, Inderveer Chana, Bacterial Foraging based Hyper-heuristic for Resource Scheduling in Grid Computing, Future Generation Computer Systems, 29(3), Elsevier, 2013.  [PDF] [PS]
  • [J] Ruibin Bai, Tom Van Woensel, Graham Kendall, Edmund Burke, A New Model and a Hyper-heuristic Approach for Two-dimensional Shelf Space Allocation, 4OR: A Quarterly Journal of Operations Research, 11(1), Springer, 2013.  [PDF] [PS]
  • [J] Jacek Blazewicz, Edmund Burke, Graham Kendall, Wojciech Mruczkiewicz, Ceyda Oguz, Aleksandra Swiercz, A Hyper-heuristic Approach to Sequencing by Hybridization of DNA Sequences, Annals of Operations Research, 207(1), Springer, 2013.  [PDF] [PS]
  • [J] Edmund Burke, Michel Gendreau, Matthew Hyde, Graham Kendall, Gabriela Ochoa, Ender Ozcan, Rong Qu, Hyper-heuristics: A Survey of the State of the Art, Journal of the Operational Research Society, 64, Palgrave Macmillan, 2013.  [PDF] [PS] [SURVEY]
  • [J] Broderick Crawford, Ricardo Soto, Eric Monfroy, Wenceslao Palma, Fernando Paredes, Parameter Tuning of a Choice-function based Hyperheuristic using Particle Swarm Optimization, Expert Systems with Applications, 40(5), Elsevier, 2013.  [PDF] [PS]
  • [J] Roberto Pinheiro Domingos, G.M.Platt, Hyper-heuristic Applied to Nuclear Reactor Core Design , Journal of Physics, 410(1), IOP, 2013.  [PDF] [PS]
  • [J] J. Gascón-Moreno, S. Salcedo-Sanz, B. Saavedra-Moreno, L. Carro-Calvo, A. Portilla-Figueras, An Evolutionary-based Hyper-Heuristic Approach for Optimal Construction of Group Method of Data Handling Networks, Information Sciences, 247, Elsevier, 2013.  [PDF] [PS]
  • [J] Murat Kalender, Ahmed Kheiri, Ender Ozcan, Edmund K. Burke, A Greedy Gradient-Simulated Annealing Hyper-heuristic, Soft Computing, 17(12), Springer, 2013.  [PDF] [PS]
  • [J] Michael Kampouridis, Abdullah Alsheddy, Edward Tsang, On the Investigation of Hyper-heuristics on a Financial Forecasting Problem, Annals of Mathematics and Artificial Intelligence, 68(4), Springer, 2013.  [PDF] [PS]
  • [J] Graham Kendall, Jiawei Li, Competitive Travelling Salesmen Problem: A Hyper-heuristic Approach, Journal of the Operational Research Society, 64, Palgrave Macmillan, 2013.  [PDF] [PS]
  • [J] Gozde Kizilates, Fidan Nuriyeva, A Parametric Hybrid Method for the Traveling Salesman Problem, Mathematical and Computational Apllications, 18(3), ASR, 2013.  [PDF] [PS]
  • [J] Berna Kiraz, A. Sima Uyar, Ender Ozcan, Selection Hyper-heuristics in Dynamic Environments, Journal of the Operational Research Society, 64, Palgrave Macmillan, 2013.  [PDF] [PS]
  • [J] Georgios Koulinas, Konstantinos Anagnostopoulos, A New Tabu Search-based Hyper-heuristic Algorithm for Solving Construction Leveling Problems with Limited Resource Availabilities, Automation in Construction, 31, Elsevier, 2013.  [PDF] [PS]
  • [J] A. Charan Kumari, K. Srinivas, Scheduling and Inspection Planning in Software Development Projects using Multi-objective Hyper-heuristic Evolutionary Algorithm, International Journal of Software Engineering & Applications, 4(3), AIRCC, 2013.  [PDF] [PS]
  • [J] Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe, A New Hyper-heuristic as a General Problem Solver: an Implementation in HyFlex, Journal of Scheduling, 16(3), Springer, 2013.  [PDF] [PS]
  • [J] Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe, An Investigation on the Generality Level of Selection Hyper-heuristics under Different Empirical Conditions, Applied Soft Computing, Elsevier, 13(7), Elsevier, 2013.  [PDF] [PS]
  • [J] Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan, A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem, IEEE Transactions on Evolutionary Computation, 17(5), IEEE, 2013.  [PDF] [PS]
  • [J] José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos, Learning Vector Quantization for Variable Ordering in Constraint Satisfaction Problems, Pattern Recognition Letters, 34(4), Elsevier, 2013.  [PDF] [PS]
  • [J] Christoph W. Pickardt, Torsten Hildebrandt, Jurgen Branke, Jens Heger, Bernd Scholz-Reiter, Evolutionary Generation of Dispatching Rule Sets for Complex Dynamic Scheduling Problems, International Journal of Production Economics, 145(1), Elsevier, 2013.  [PDF] [PS]
  • [J] Carlos Segura, Eduardo Segredo, Coromoto Leon, Scalability and Robustness of Parallel Hyperheuristics Applied to a Multiobjectivised Frequency Assignment Problem, Soft Computing, 17(6), Springer, 2013.  [PDF] [PS]
  • [J] Amr Soghier, Rong Qu, Adaptive Selection of Heuristics for Assigning Time Slots and Rooms in Exam Timetables, Applied Intelligence, 39(2), Springer, 2013.  [PDF] [PS]
  • [J] Gonul Uludag, Berna Kiraz, A. Sima Etaner-Uyar, Ender Ozcan, A Hybrid Multi-population Framework for Dynamic Environments Combining Online and Offline Learning, Soft Computing, 17(12), Springer, 2013.  [PDF] [PS]
  • [J] Jose A. Vazquez-Rodriguez, Sanja Petrovic, A Mixture Experiments Multi-objective Hyper-heuristic, Journal of the Operational Research Society, 64, Palgrave Macmillan, 2013.  [PDF] [PS] [PPT]
  • [B] Marco Aurelio Sotelo-Figueroa, Héctor José Puga Soberanes, Juan Martín Carpio, Héctor J. Fraire Huacuja, Laura Cruz Reyes, Jorge Alberto Soria Alcaraz, Evolving Bin Packing Heuristic Using Micro-Differential Evolution with Indirect Representation, Recent Advances on Hybrid Intelligent Systems, Studies in Computational Intelligence, vol.451, 2013.  [PDF] [PS]
  • [B] Tony Wauters, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe, Boosting Metaheuristic Search Using Reinforcement Learning, Hybrid Metaheuristics, Studies in Computational Intelligence, vol.434, 2013.  [PDF] [PS]
  • [C] Shahriar Asta, Ender Ozcan, Andrew J. Parkes, Dimension Reduction in the Search for Online Bin Packing Policies, the 15th Annual Conference on Genetic and Evolutionary Computation (GECCO13), Amsterdam, Netherlands, 2013.  [PDF] [PS] [PPT]
  • [C] Hilal Kevser Cora, H. Turgut Uyar, A. Sima Etanar-Uyar, HH-DSL: A Domain Specific Language for Selection Hyper), the 15th Annual Conference on Genetic and Evolutionary Computation (GECCO13), Amsterdam, Netherlands, 2013.  [PDF] [PS] [PPT]
  • [C] Achiya Elyasaf, Moshe Sipper, HH-evolver: A System for Domain-specific, Hyper-heuristic Evolution, the 15th Annual Conference on Genetic and Evolutionary Computation (GECCO13), Amsterdam, Netherlands, 2013.  [PDF] [PS] [PPT]
  • [C] Nuno Lourenco, Francisco Baptista Pereira, Ernesto Costa, The Importance of the Learning Conditions in Hyper-heuristics, the 15th Annual Conference on Genetic and Evolutionary Computation (GECCO13), Amsterdam, Netherlands, 2013.  [PDF] [PS] [PPT]
  • [C] Jaromir Mlejnek, Jiri Kubalik, Evolutionary Hyperheuristic for Capacitated Vehicle Routing Problem, the 15th Annual Conference on Genetic and Evolutionary Computation (GECCO13), Amsterdam, Netherlands, 2013.  [PDF] [PS] [PPT]
  • [C] Kevin Sim, Emma Hart, Generating Single and Multiple Cooperative Heuristics for the One Dimensional Bin Packing Problem Using a Single Node Genetic Programming Island Model, the 15th Annual Conference on Genetic and Evolutionary Computation (GECCO13), Amsterdam, Netherlands, 2013.  [PDF] [PS] [PPT]
  • [C] Khairul Anwar, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Harmony Search-Based Hyper-Heuristic for Examination Timetabling, the 9th IEEE Colloquium on Signal Processing and its Applications (CSPA13), Kuala Lumpur, Malaysia, 2013.  [PDF] [PS] [PPT]
  • [C] Shahriar Asta, Ender Ozcan, Andrew J. Parkes, Batched Mode Hyper-heuristics, the 7th Learning and Intelligent OptimizatioN Conference (LION13), Catania, Italy, 2013.  [PDF] [PS] [PPT]
  • [C] Shahriar Asta, Ender Ozcan, Andrew J. Parkes, Sima Etaner Uyar, Generalizing Hyper-heuristics via Apprenticeship Learning, the 13th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP13), Vienna, Austria, 2013.  [PDF] [PS] [PPT]
  • [C] Márcio P. Basgalupp, Rodrigo C. Barros, Tiago S. Da, Andre C. P. L. F. De Carvalho, Software Effort Prediction: A Hyper-Heuristic Decision-Tree based Approach, the 28th ACM Symposium on Applied Computing (SAC13), Coimbra, Portugal, 2013. [PDF] [PS] [PPT]
  • [C] J.C. Ortiz-Bayliss, H. Terashima-Marin, E. Ozcan, A.J. Parkes, S.E. Conant-Pablos, Exploring Heuristic Interactions in Constraint Satisfaction Problems: A Closer Look at the Hyper-Heuristic Space, the 2013 IEEE Congress on Evolutionary Computation (CEC13), Cancun, Mexico, 2013. [PDF] [PS] [PPT]
  • [C] John Drake, Nikolaos Kililis, Ender Özcan, Generation of VNS Components with Grammatical Evolution for Vehicle Routing, the 16th European Conference on Genetic Programming (EuroGP13), Vienna, Austria, 2013.  [PDF] [PS] [PPT]
  • [C] Ahmed Kheiri, Ender Ozcan, A Hyper-heuristic with a Round Robin Neighbourhood Selection, the 13th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP13), Vienna, Austria, 2013.  [PDF] [PS] [PPT]
  • [C] Berna Kiraz, Sima Etaner Uyar, Ender Ozcan, An Ant-based Selection Hyper-heuristic for Dynamic Environments, the 13th European Conference on the Applications of Evolutionary Computation (EvoApplications13), Vienna, Austria, 2013.  [PDF] [PS] [PPT]
  • [C] Wen Shi, Xueyan Song, Cuiling Yu, Jizhou Sun , An Asynchronous Reinforcement Learning Hyper-Heuristic Algorithm for Flow Shop Problem, the 12th IASTED International Conference on Artificial Intelligence and Applications (AIA13), Innsbruck, Austria, 2013.  [PDF] [PS] [PPT]
  • [C] Kevin Sim, Emma Hart, Ben Paechter, Learning to Solve Bin Packing Problems with an Immune Inspired Hyper-heuristic, the 12th European Conference on Artificial Life (ECAL13), Taormina, Italy, 2013.  [PDF] [PS] [PPT]
  • [C] Hendro Wicaksono E.V. Prohl J. Ovtcharova, Hyper heuristic based Production Process Scheduling to Improve Productivity in Sustainable Manufacturing, the 22nd International Conference on Production Research (ICPR13), Iguassu Falls, Brazil, 2013.  [PDF] [PS] [PPT]
  • [W] José Carlos Ortiz-Bayliss, Ender Özcan, Andrew J. Parkes, Hugo Terashima-Marín, A Genetic Programming Hyper-heuristic: Turning Features into Heuristics for Constraint Satisfaction, the 13th Annual Workshop on Computational Intelligence (UKCI13), Surrey, UK, 2013.  [PDF] [PS] [PPT]
  • [W] Anas Elhag, Ender Ozcan, A Grouping Hyper-heuristic Framework based on Linear Linkage Encoding For Graph Coloring, the 13th Annual Workshop on Computational Intelligence (UKCI13), Surrey, UK, 2013.  [PDF] [PS] [PPT]
  • [W] Warren Jackson, Ender Ozcan, John H. Drake, Late Acceptance-based Selection Hyper-heuristics for Cross-domain Heuristic Search, the 13th Annual Workshop on Computational Intelligence (UKCI13), Surrey, UK, 2013.  [PDF] [PS] [PPT]
  • [W] Ender Ozcan, Shahriar Asta, Cevriye Altintas, Memetic Algorithms for Cross-domain Heuristic Search, the 13th Annual Workshop on Computational Intelligence (UKCI13), Surrey, UK, 2013.  [PDF] [PS] [PPT]
  • [W] Ender Ozcan, Mustafa Misir, Ahmed Kheiri, Group Decision Making in Selection Hyper-heuristics, the 13th Annual Workshop on Computational Intelligence (UKCI13), Surrey, UK, 2013.  [PDF] [PS] [PPT]
  • [W] Mourad Lassouaoui, Dalila Boughaci, A Choice Function Hyper-Heuristic for the Winner Determination Problem, the 6th International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO13), Canterbury, UK, 2013.  [PDF] [PS] [PPT]
  • [W] Per Kristian Lehre, Ender Ozcan, A Runtime Analysis of Simple Hyper-heuristics: To Mix or Not to Mix Operators, the 12th International Workshop on Foundations of Genetic Algorithms (FOGA13), Adelaide, Australia, 2013.  [PDF] [PS] [PPT]
  • [T] Monica Banerjea-Brodeur, Selection Hyper-heuristics for Healthcare Scheduling, PhD Thesis, School of Computer Science, University of Nottingham, 2013.  [PDF] [PS]

[ YEAR: 2012 ]   {#}

  • [J] Kieran Greer, A Stochastic Hyper-Heuristic for Matching Partial Information, Advances in Artificial Intelligence, Hindawi, to appear.  [PDF] [PS]
  • [J] Kent McClymont, Ed Keedwell, Dragan Savic, Mark Randall-Smith, A General Multi-objective Hyper-heuristic for Water Distribution Network Design with Discolouration Risk, Journal of Hydroinformatics, IWA Publishing, to appear.  [PDF] [PS]
  • [J] Kent McClymont, Ed Keedwell, Dragan Savic, Mark Randall-Smith, Automated Construction of Evolutionary Algorithm Operators for the Bi-objective Water Distribution Network Design Problem using a Genetic Programming based Hyper-heuristic Approach, Journal of Hydroinformatics, IWA Publishing, to appear.  [PDF] [PS]
  • [J] Morteza Alinia Ahandani, Mohammad Taghi Vakil Baghmisheh, Mohammad Ali Badamchi Zadeh, Sehraneh Ghaemi, Hybrid Particle Swarm Optimization Transplanted into a Hyper-Heuristic Structure for Solving Examination Timetabling Problem, Swarm and Evolutionary Computation, 7, Elsevier, 2012.  [PDF] [PS]
  • [J] Ruibin Bai, Jacek Blazewicz, Edmund Burke, Graham Kendall, Barry McCollum, A Simulated Annealing Hyper-heuristic Methodology for Flexible Decision Support, 4OR: A Quarterly Journal of Operations Research, 10(1), Springer, 2012.  [PDF] [PS]
  • [J] Rodrigo C Barros, Ana T Winck, Karina S Machado, Márcio P Basgalupp, André CPLF de Carvalho, Duncan D Ruiz, Osmar Norberto de Souza, Automatic Design of Decision-tree Induction Algorithms Tailored to Flexible-Receptor Docking Data, BMC Bioinformatics, 13(1), Biomed, 2012.  [PDF] [PS]
  • [J] Burak Bilgin, Peter Demeester, Mustafa Misir, Wim Vancroonenburg, Greet Vanden Berghe, One Hyperheuristic Approach to Two Timetabling Problems in Health Care, Journal of Heuristics, 18(3), Springer, 2012.  [PDF] [PS] [DATASET1] [DATASET2]
  • [J] Edmund Burke, Matthew Hyde, Graham Kendall, Grammatical Evolution of Local Search Heuristics, IEEE Transactions on Evolutionary Computation, 16(3), IEEE, 2012.  [PDF] [PS]
  • [J] Edmund Burke, Matthew Hyde, Graham Kendall, John Woodward, Automating the Packing Heuristic Design Process with Genetic Programming, Evolutionary Computation, 20(1), MIT, 2012.  [PDF] [PS]
  • [J] Edmund Burke, Graham Kendall, Mustafa Misir, Ender Ozcan, Monte Carlo Hyper-heuristics for Examination Timetabling, Annals of Operations Research, 196(1), Springer, 2012.  [PDF] [PS]
  • [J] Peter Demeester, Burak Bilgin, Patrick De Causmaecker, Greet Vanden Berghe, A Hyperheuristic Approach to Examination Timetabling Problems: Benchmarks and a New Problem from Practice , Journal of Scheduling, 15(1), Springer, 2012.  [PDF] [PS]
  • [J] Pablo Garrido, Carlos Castro, A Flexible and Adaptive Hyper-heuristic Approach for (Dynamic) Capacitated Vehicle Routing Problems, Fundamenta Informaticae, 119(1), IOS Press, 2012.  [PDF] [PS]
  • [J] Juan Carlos Gomez, Hugo Terashima-Marin, Building General Hyper-Heuristics for Multi-Objective Cutting Stock Problems, Computacion y Sistemas, 16(3), 2012.  [PDF] [PS]
  • [J] Renata Furtuna, Silvia Curteanu, Florin Leon, Multi-Objective Optimization of a Stacked Neural Network Using an Evolutionary Hyper-Heuristic, Applied Soft Computing, 12(1), Elsevier, 2012.  [PDF] [PS]
  • [J] Ali Kamran, Liang Guozhu, An Integrated Approach for Optimization of Solid Rocket Motor, Aerospace Science and Technology, 17(1), Elsevier, 2012  [PDF] [PS]
  • [J] Charan A. Kumari, K. Srinivas, Software Module Clustering using a Fast Multi-objective Hyper-heuristic Evolutionary Algorithm, International Journal of Applied Information Systems, 5(6), FCS, 2012.  [PDF] [PS]
  • [J] K.V. Narayanaswamy, Analysis and Optimization of Channel Allocation Strategies in Cellular Network, International Journal of Computer Science Issues, 2(6), IRACST, 2012  [PDF] [PS]
  • [J] Joe Henry Obit, Djamila Ouelhadj, Dario Landa-Silva, Rayner Alfred, An Evolutionary Non-Linear Great Deluge Approach for Solving Course Timetabling Problems, International Journal of Computer Networks and Wireless Communications, 9(4-2), IJCSI, 2012  [PDF] [PS]
  • [J] Nelishia Pillay, Evolving Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem, Journal of the Operational Research Society, 63(1), Palgrave Macmillan, 2012.  [PDF] [PS]
  • [J] Stephen Remde, Peter Cowling, Keshav Dahal, Nic Colledge, Evgeny Selensky, An Empirical Study of Hyperheuristics for Managing Very Large Sets of Low-level Heuristics, Journal of the Operational Research Society, 63(3), Palgrave Macmillan, 2012.  [PDF] [PS]
  • [J] Zhilei Ren, He Jiang, Jifeng Xuan, Zhongxuan Luo, Hyper-Heuristics with Low Level Parameter Adaptation, Evolutionary Computation, 20(2), MIT, 2012.  [PDF] [PS]
  • [J] Nasser R. Sabar, Masri Ayob, Rong Qu, Graham Kendall, A Graph Coloring Constructive Hyper-heuristic for Examination Timetabling Problems, Applied Intelligence, 37(1), Springer, 2012.  [PDF] [PS]
  • [J] Ei Shwe Sin, Nang Saing Moon Kham, Hyper heuristic based on Great Deluge and its Variants for Exam Timetabling Problem, International Journal of Artificial Intelligence & Applications, 3(1), 2012.  [PDF] [PS]
  • [J] Farzaneh Sadat Tabataba, Sayyed Rasoul Mousavi, A Hyper-heuristic for the Longest Common Subsequence Problem, Computational Biology and Chemistry, 36, Elsevier, 2012.  [PDF] [PS]
  • [J] José Antonio Vázquez-Rodríguez, Sanja Petrovic, Calibrating Continuous Multi-objective Heuristics using Mixture Experiments, Journal of Heuristics, 18(5), 2012.  [PDF] [PS]
  • [J] Tony Wauters, Wim Vancroonenburg, Greet Vanden Berghe, A Guide-and-Observe Hyper-heuristic Approach to the Eternity II Puzzle, Journal of Mathematical Modelling and Algorithms, 11(3), Springer, 2012.  [PDF] [PS]
  • [J] Aftab Ahmed, M. Ali, W. Hussain, Abdul Hussain Shah Bukhari, Bespoke Set of Heuristics for Solving Curriculum Scheduling Problems, Sindh University Research Journal, 44(2), 2012.  [PDF] [PS]
  • [J] Nelishia Pillay, A Study of Evolutionary Algorithm Selection Hyper-Heuristics for the One-Dimensional Bin-Packing Problem-Solving, South African Computer Journal, 48, 2012.  [PDF] [PS]
  • [J] T. Cichowicz, M. Drozdowski, M. Frankiewicz, G. Pawlak, F. Rytwinski, J. Wasilewski, Hyper-heuristics for Cross-Domain Search, Bulletin of the Polish Academy of Sciences Technical Sciences, 60(4), 2012.  [PDF] [PS]
  • [C] Rachel Hunt, Kourosh Neshatian, Mengjie Zhang, A Genetic Programming Approach to Hyper-Heuristic Feature Selection, the 9th International Conference on Simulated Evolution And Learning (SEAL12), LNCS vol.7673/2012, Hanoi, Vietnam, 2012.  [PDF] [PS] [PPT]
  • [C] Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan, Automatic Discovery of Optimisation Search Heuristics for Two Dimensional Strip Packing Using Genetic Programming, the 9th International Conference on Simulated Evolution And Learning (SEAL12), LNCS vol.7673/2012, Hanoi, Vietnam, 2012.  [PDF] [PS] [PPT]
  • [C] Kamran Shafi, Axel Bender, Hussein A. Abbass, Multi Objective Learning Classifier Systems Based Hyperheuristics for Modularised Fleet Mix Problem, the 9th International Conference on Simulated Evolution And Learning (SEAL12), LNCS vol.7673/2012, Hanoi, Vietnam, 2012.  [PDF] [PS] [PPT]
  • [C] Chun-Wei Tsai, Huei-Jyun Song, Ming-Chao Chiang, A Hyper-heuristic Clustering Algorithm, the IEEE International Conference on Systems, Man, and Cybernetics (SMC12), Seoul, Korea, 2012.  [PDF] [PS] [PPT]
  • [C] John Drake, Ender Ozcan, Edmund Burke, An Improved Choice Function Heuristic Selection for Cross Domain Heuristic Search, the 12th International Conference on Parallel Problem Solving From Nature (PPSN12), LNCS vol.7492, Taormina, Italy, 2012.  [PDF] [PS] [PPT]
  • [C] Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe, The Effect of the Set of Low-level Heuristics on the Performance of Selection Hyper-heuristics, the 12th International Conference on Parallel Problem Solving From Nature (PPSN12), LNCS vol.7492, Taormina, Italy, 2012.  [PDF] [PS] [PPT]
  • [C] Gabriela Ochoa, James Walker, Matthew Hyde, Tim Curtois, Adaptive Evolutionary Algorithms and Extensions to the HyFlex Hyper-heuristic Framework, the 12th International Conference on Parallel Problem Solving From Nature (PPSN12), LNCS vol.7492, Taormina, Italy, 2012.  [PDF] [PS] [PPT]
  • [C] Prapa Rattadilok, Mahdi Mahfouf, Jonathan Ross, Gary Mills, George Panoutsos, Abdelhafid Zeghbib, Mouloud Denai, Suggestive Therapeutic Pathways Using Hyper-Heuristics, the 8th IFAC Symposium on Biological and Medical Systems, Budapest, Hungary, 2012.  [PDF] [PS] [PPT]
  • [C] Christopher Rae, Nelishia Pillay, A Preliminary Study into the Use of an Evolutionary Algorithm Hyper-heuristic to Solve the Nurse Rostering Problem , the 4th World Congress on Nature and Biologically Inspired Computing (NaBIC12), Mexico City, Mexico, 2012.  [PDF] [PS] [PPT]
  • [C] Kevin Sim, Emma Hart, Ben Paechter, A Hyper-Heuristic Classifier for One Dimensional Bin Packing Problems: Improving Classification Accuracy by Attribute Evolution, the 12th International Conference on Parallel Problem Solving From Nature (PPSN12), LNCS vol.7492, Taormina, Italy, 2012.  [PDF] [PS] [PPT]
  • [C] Gonul Uludag, Berna Kiraz, Sima Uyar, Ender Ozcan, A Framework to Hybridise PBIL and a Hyper-heuristic for Dynamic Environments, the 12th International Conference on Parallel Problem Solving From Nature (PPSN12), Taormina, Italy, 2012.  [PDF] [PS] [PPT]
  • [C] John Drake, Matthew Hyde, Khaled Ibrahim, Ender Özcan, A Genetic Programming Hyper-Heuristic for the Multidimensional Knapsack Problem, the 11th IEEE International Conference on Cybernetic Intelligent Systems (IEEE CIS12), Limerick, Ireland, 2012.  [PDF] [PS] [PPT]
  • [C] Murat Kalender, Ahmed Kheiri, Ender Ozcan, Edmund Burke, A Greedy Gradient-Simulated Annealing Hyper-heuristic for a Curriculum-based Course Timetabling Problem, the 12th UK Workshop on Computational Intelligence (UKCI12), Edinburgh, Scotland, 2012.  [PDF] [PS] [PPT]
  • [C] Muhammet Kole, Sima Etaner-Uyar, Berna Kiraz, Ender Ozcan Heuristics for Car Setup Optimisation in TORCS , the 12th UK Workshop on Computational Intelligence (UKCI12), Edinburgh, Scotland, 2012.  [PDF] [PS] [PPT]
  • [C] Gonul Uludag, Berna Kiraz, Sima Uyar, Ender Ozcan, Heuristic Selection in a Multi-phase Hybrid Approach for Dynamic Environments, the 12th UK Workshop on Computational Intelligence (UKCI12), Edinburgh, Scotland, 2012.  [PDF] [PS] [PPT]
  • [C] Roberto P. Domingos, Gustavo M. Platt, Hyper-heuristic Applied to Nuclear Reactor Core Design, the 1st International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE12), Budapest, Hungary, 2012.  [PDF] [PS] [PPT]
  • [C] Ahmed Kheiri, Ender Ozcan, Andrew J. Parkes, HySST: Hyper-heuristic Search Strategies and Timetabling, the 9th International Conference on the Practice and Theory of Automated Timetabling (PATAT12), Son, Norway, 2012.  [PDF] [PS] [PPT]
  • [C] Ender Ozcan, Anas Elhag, Viral Shah, A Study of Hyper-heuristics for Examination Timetabling, the 9th International Conference on the Practice and Theory of Automated Timetabling (PATAT12), Son, Norway, 2012.  [PDF] [PS] [PPT]
  • [C] Nelishia Pillay, Hyper-Heuristics for Educational Timetabling, the 9th International Conference on the Practice and Theory of Automated Timetabling (PATAT12), Son, Norway, 2012.  [PDF] [PS] [PPT]
  • [C] Rodrigo C. Barros, Marcio P. Basgalupp, Andre Carlos Ponce Leon Ferreira de Carvalho, Alex Alves Freitas, A Hyper-Heuristic Evolutionary Algorithm for Automatically Designing Decision-Tree Algorithms, the 14th Annual Conference on Genetic and Evolutionary Computation (GECCO12), Philadelphia/Pennsylvania, USA, 2012.  [PDF] [PS] [PPT]
  • [C] Jose Carlos Ortiz-Bayliss, Hugo Terashima-Marin, Ender Ozcan, Andrew Parkes, Improving the Performance of Vector Hyper-heuristics through Local Search, the 14th Annual Conference on Genetic and Evolutionary Computation (GECCO12), Philadelphia/Pennsylvania, USA, 2012.  [PDF] [PS] [PPT]
  • [C] Eunice López-Camacho, Hugo Terashima-Marín, Santiago Enrique Conant-Pablos, The Impact of the Bin Packing Problem Structure in Hyper-heuristic Performance, the 14th Annual Conference on Genetic and Evolutionary Computation (GECCO12), Philadelphia/Pennsylvania, USA, 2012.  [PDF] [PS] [PPT]
  • [C] Wojciech Jaskowski, Piotr Gawron, Marcin Szubert, Bartosz Wieloch, A Co-evolutionary Hyper-heuristic for ROADEF/EURO Challenge 2012 Machine Reassignment Problem, the 25th EURO Conference on Operational Research (EURO12), Vilnius, Lithuania, 2012.  [PDF] [PS] [PPT]
  • [C] Erhan Kozan, Brad Casey, An Integrated Approach to Optimising Container Processes at Multimodal Seaport Terminals, the 25th EURO Conference on Operational Research (EURO12), Vilnius, Lithuania, 2012.  [PDF] [PS] [PPT]
  • [C] Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall and Sarma Yadavalli, Investigating the Use of Local Search for Improving Meta-Hyper-Heuristic Performance, the IEEE Congress on Evolutionary Computation (IEEE CEC12), Brisbane, Australia, 2012.  [PDF] [PS] [PPT]
  • [C] Ping-Che Hsiao, Tsung-Che Chiang, Li-Chen Fu, A VNS-based Hyper-heuristic with Adaptive Computational Budget of Local Search, the IEEE Congress on Evolutionary Computation (IEEE CEC12), Brisbane, Australia, 2012.  [PDF] [PS] [PPT]
  • [C] Su Nguyen, Mengjie Zhang, Mark Johnston, Kay Chen Tan, A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem, the IEEE Congress on Evolutionary Computation (IEEE CEC12), Brisbane, Australia, 2012.  [PDF] [PS] [PPT]
  • [C] Yanghui Wu, John McCall, David Corne, Olivier Regnier-Coudert, Landscape Analysis for Hyperheuristic Bayesian Network Structure Learning on Unseen Problems, the IEEE Congress on Evolutionary Computation (IEEE CEC12), Brisbane, Australia, 2012.  [PDF] [PS] [PPT]
  • [C] Jiri Kubalik, Hyper-Heuristic Based on Iterated Local Search Driven by Evolutionary Algorithm, the 12th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP12), Malaga, Spain, 2012.  [PDF] [PS] [PPT]
  • [C] Gabriela Ochoa, Matthew Hyde, Tim Curtois, Jose A. Vazquez-Rodriguez, James Walker, Michel Gendreau, Graham Kendall, Barry McCollum, Andrew J. Parkes, Sanja Petrovic, Edmund Burke, HyFlex: A Benchmark Framework for Cross-domain Heuristic Search, the 12th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP12), Malaga, Spain, 2012.  [PDF] [PS] [PPT]
  • [C] Amer Farhan Rafique, Multiobjective Hyper heuristic Scheme for System Design and Optimization, the 9th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences (ICNPAA12), Vienna, Austria, 2012.  [PDF] [PS] [PPT]
  • [C] José Carlos Villela Tinoco, Carlos A. Coello Coello, hypDE: A Hyper-Heuristic Based on Differential Evolution for Solving Constrained Optimization Problems, the 2nd EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation, Mexico City, Mexico, 2012.  [PDF] [PS] [PPT]
  • [C] Broderick Crawford, Carlos Castro, Eric Monfroy, Ricardo Soto, Wenceslao Palma, Fernando Paredes, A Hyperheuristic Approach for Guiding Enumeration in Constraint Solving, the 2nd EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation, Mexico City, Mexico, 2012.  [PDF] [PS] [PPT]
  • [C] José-Matías Cutillas-Lozano, Domingo Giménez, Luis-Gabino Cutillas-Lozano, Modelling Parameterized Shared-Memory Hyperheuristics for Auto-tuning, Presentation, the 12th International Conference Computational and Mathematical Methods in Science and Engineering (CMMSE12), La Manga-Murcia, Spain, 2012.  [PDF] [PS] [PPT]
  • [C] Per Kristian Lehre, Ender Özcan, A Time-Complexity Analysis of Hyper-Heuristics, the 25th Conference of European Chapter on Combinatorial Optimization (ECCO12), Antalya, Turkey, 2012.  [PDF] [PS] [PPT]
  • [C] Ender Ozcan, Ahmed Kheiri, Round-robin Strategy-based Selection Hyper-heuristic, the 25th Conference of European Chapter on Combinatorial Optimization (ECCO12), Antalya, Turkey, 2012.  [PDF] [PS] [PPT]
  • [C] Gokhan Secme, Lale Ozbakir, Ender Ozcan, A Hyper-heuristic Approach to Parallel Assembly Line Balancing Problems, the 25th Conference of European Chapter on Combinatorial Optimization (ECCO12), Antalya, Turkey, 2012.  [PDF] [PS] [PPT]
  • [C] Ahmed Kheiri, Ender Ozcan, Hyper-heuristic to Construct Magic Squares, the 3rd Student Conference on Operational Research (SCOR12), Nottingham, UK, 2012.  [PDF] [PS] [PPT]
  • [C] C.Y. Chan, Fan Xue, W.H. Ip, C.F. Cheung, A Hyper-heuristic Inspired by Pearl Hunting, the 6th Learning and Intelligent OptimizatioN Conference (LION12), LNCS vol.7219, Paris, France, 2012.  [PDF] [PS] [PPT]
  • [C] Tomasz Cichowicz, Maciej Drozdowski, Michal Frankiewicz, Grzegorz Pawlak, Filip Rytwinski, Jacek Wasilewski, Five Phase and Genetic Hive Hyper-heuristics for the Cross-Domain Search, the 6th Learning and Intelligent OptimizatioN Conference (LION12), LNCS vol.7219, Paris, France, 2012.  [PDF] [PS] [PPT]
  • [C] Luca Di Gaspero, Tommaso Urli, Evaluation of a Family of Reinforcement Learning Cross-domain Optimization Heuristics, the 6th Learning and Intelligent OptimizatioN Conference (LION12), LNCS vol.7219, Paris, France, 2012.  [PDF] [PS] [PPT]
  • [C] Andreas Lehrbaum, Nysret Musliu, A New Hyperheuristic Algorithm for Cross Domain Search Problems, the 6th Learning and Intelligent OptimizatioN Conference (LION12), LNCS vol.7219, Paris, France, 2012.  [PDF] [PS] [PPT]
  • [C] Franco Mascia, Thomas Stützle, A Non-Adaptive Stochastic Local Search Algorithm for the CHeSC 2011 Competition, the 6th Learning and Intelligent OptimizatioN Conference (LION12), LNCS vol.7219, Paris, France, 2012.  [PDF] [PS] [PPT]
  • [C] Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe, An Intelligent Hyper-heuristic Framework for CHeSC 2011, the 6th Learning and Intelligent OptimizatioN Conference (LION12), LNCS vol.7219, Paris, France, 2012.  [PDF] [PS] [PPT]
  • [C] James Walker, Gabriela Ochoa, Michel Gendreau, Edmund Burke, A Vehicle Routing Domain for the HyFlex Hyper-heuristics Framework, the 6th Learning and Intelligent OptimizatioN Conference (LION12), LNCS vol.7219, Paris, France, 2012.  [PDF] [PS] [PPT]
  • [C] Carlos Segura, Eduardo Segredo, Coromoto Leon, Analysing the Adaptation Level of Parallel Hyperheuristics Applied to Multiobjectivised Benchmark Problems, the 20th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP12), Munich, Germany, 2012.  [PDF] [PS] [PPT]
  • [C] Tobias Uhlig, Falk Stefan Pappert, Oliver Rose, Simulation-based Optimization for Semiconductor Manufacturing using Hyper-heuristics, the 2012 Winter Simulation Conference (WSC12), Berlin, Germany, 2012.  [PDF] [PS] [PPT]
  • [C] Duncan T. Wilson, Glenn I. Hawe, Graham Coates, Roger S. Crouch, A Hyper-heuristic Approach to Optimizing Emergency Response, the 4th International Conference on Metaheuristics and Nature Inspired Computing (META12), Port El-Kantaoui, Tunusia, 2012.  [PDF] [PS] [PPT]
  • [W] Kyle Harrington, Lee Spector, Jordan Pollack, Una-May O'Reilly, Autoconstructive Evolution for Structural Problems, the Workshop on Evolutionary Computation for the Automated Design of Algorithms, the 14th Annual Conference on Genetic and Evolutionary Computation (GECCO12), Philadelphia/Pennsylvania, USA, 2012.  [PDF] [PS] [PPT]
  • [W] John Woodward, Jerry Swan, The Automatic Generation of Mutation Operators for Genetic Algorithms, the Workshop on Evolutionary Computation for the Automated Design of Algorithms, the 14th Annual Conference on Genetic and Evolutionary Computation (GECCO12), Philadelphia/Pennsylvania, USA, 2012.  [PDF] [PS] [PPT]
  • [R] Ei Shwe Sin, Nang Saing Moon Kham, Hyper heuristic based on Great Deluge and its Variants for Exam Timetabling Problem, Arxiv preprint arXiv:1202.1891, 2012.  [PDF] [PS]
  • [T] Burak Bilgin, Advanced Models and Solution Methods for Automation of Personnel Rostering Optimisation, PhD Thesis, Department of Computer Science, KU Leuven, 2012.  [PDF] [PS]
  • [T] Fatma Corut Ergin, Survivable Virtual Topology Design in Optical WDM Networks Using Nature-Inspired Algorithms, PhD Thesis, Informatics Institute, Istanbul Technical University, 2012.  [PDF] [PS]
  • [T] Mustafa Misir, Intelligent Hyper-heuristics: A Tool for Solving Generic Optimisation Problems, PhD Thesis, Department of Computer Science, KU Leuven, 2012.  [PDF] [PS]
  • [T] Amr Soghier, Novel Hyper-Heuristic Approaches in Exam Timetabling, PhD Thesis, School of Computer Science, University of Nottingham, 2012.  [PDF] [PS]
  • [T] Tony Wauters, Reinforcement Learning Enhanced Heuristic Search for Combinatorial Optimization, PhD Thesis, Department of Computer Science, KU Leuven, 2012.  [PDF] [PS]
  • [T] Yanghui Wu, Problem Dependent Metaheuristic Performance in Bayesian Network Structure Learning, PhD Thesis, Robert Gordon University, 2012.  [PDF] [PS]
  • [T] Mathijs ter Braak, A Hyperheuristic for Generating Timetables in the XHSTT Format, MSc Thesis, Faculty of Science and Technology, University of Twente, 2012.  [PDF] [PS]
  • [T] Gerhard Hiermann, Metaheuristics for a Multimodal Home-health Care Scheduling Problem, MSc Thesis, Faculty of Informatics, Vienna University of Technology, 2012.  [PDF] [PS]
  • [T] Jakub Weberschinke, Evolutionary Hyper-Heuristics for Heuristic Selection, MSc Thesis, Department of Cybernetics, Czech Technical University in Prague, 2012.  [PDF] [PS]

[ YEAR: 2011 ]   {#}

  • [J] Alberto Garcia-Villoria, Said Salhi, Albert Corominas, Rafael Pastor, Hyper-heuristic Approaches for the Response Time Variability Problem, European Journal of Operational Research, 211(1), Elsevier, 2011.  [PDF] [PS]
  • [J] He Jiang, Junying Qiu, Jifeng Xuan, A Hyper-Heuristic Using GRASP with Path-Relinking: A Case Study of the Nurse Rostering Problem, European Journal of Information Technology Research, 4(2), IGI Global, 2011.  [PDF] [PS]
  • [J] Konstantinos Anagnostopoulos, Georgios Koulinas, Resource-Constrained Critical Path Scheduling by a GRASP based Hyperheuristic, Journal of Computing in Civil Engineering, 1(1), ASCE, 2011.  [PDF] [PS]
  • [J] Jingpeng Li, Edmund Burke, Rong Qu, Integrating Neural Networks and Logistic Regression to Underpin Hyper-heuristic Search, Knowledge-Based Systems, 24(2), Elsevier, 2011.  [PDF] [PS]
  • [J] Carlos Segura, Gara Miranda, Coromoto Leon, Parallel Hyperheuristics for the Frequency Assignment Problem, Memetic Computing, 3(1), Springer, 2011.  [PDF] [PS]
  • [J] Amer Farhan Rafique, Linshu He, Ali Kamran, Qasim Zeeshan, Hyper Heuristic Approach for Design and Optimization of Satellite Launch Vehicle, Chinese Journal of Aeronautics, 24(2), Elsevier, 2011.  [PDF] [PS]
  • [J] Aftab Ahmed, Mazhar Ali, Ahthasham Sajid, Abdul Hussain Shah Bukhari, Particle Swarm Based Hyper-Heuristic For Tackling Real World Examinations Scheduling Problem, Australian Journal of Basic and Applied Sciences, 5(10), INSI, 2011.  [PDF] [PS]
  • [J] Aftab Ahmed, Abdul Wahid Shaikh, Mazhar Ali, Abdul Hussain Shah Bukhari, Hyper-Heuristic Approach For Solving Scheduling Problem: A Case Study, Australian Journal of Basic and Applied Sciences, 5(9), INSI, 2011.  [PDF] [PS]
  • [J] Aftab Ahmed, Abdul Hussain Shah Bukhari, Imdad Ali Ismaili, A Comparative Study On Three Hyper-Heuristic Approaches For Solving Benchmark Scheduling Problems, Sindh University Research Journal, 43(2), 2011.  [PDF] [PS]
  • [J] He Jiang, Hyper-Heuristic Algorithm: A Cross-Domain Problem Solving Model, Communications of the Chinese Computer Federation (Chinese edition), 7(3), 2011.  [PDF] [PS]
  • [B] Mustafa Misir, Tony Wauters, Katja Verbeeck, Greet Vanden Berghe, A Hyper-heuristic with Learning Automata for the Traveling Tournament Problem, Metaheuristics: Intelligent Decision Making, the 8th Metaheuristics International Conference - Post Conference Volume, 2011.  [PDF] [PS] [DATASET]
  • [B] Joe Henry Obit, Dario Landa-Silva, Marc Sevaux, Djamila Ouelhadj, Non-Linear Great Deluge with Reinforcement Learning for University Course Timetabling, Metaheuristics: Intelligent Decision Making, the 8th Metaheuristics International Conference - Post Conference Volume, 2011.  [PDF] [PS]
  • [B] Jorge Soria-Alcaraz, Martin Carpio-Valadez, Hugo Tereshima-Marin, Academic Timetabling Design Using Hyper-Heuristics, Soft Computing for Intelligent Control and Mobile Robotics, Studies in Computational Intelligence, vol.318, 2011.  [PDF] [PS]
  • [C] Mustafa Misir, Patrick De Causmaecker, Greet Vanden Berghe, Katja Verbeeck, A New Hyper-heuristic Implementation in HyFlex: a Study on Generality, the 23rd Benelux Conference on Artificial Intelligence (BNAIC11), Gent, Belgium, 2011.  [PDF] [PS] [PPT]
  • [C] John Drake, Ender Ozcan, Edmund Burke, Controlling Crossover in a Selection Hyper-heuristic Framework, CS Technical Report NOTTCS-TR-SUB-1104181638-4244, OR53 Annual Conference, Nottingham, UK, 2011.  [PDF] [PS] [PPT]
  • [C] Mustafa Misir, Patrick De Causmaecker, Greet Vanden Berghe, Katja Verbeeck, An Adaptive Selection Hyper-heuristic for CHeSC 2011, OR53 Annual Conference, Nottingham, UK, 2011.  [PDF] [PS] [PPT] [COMPETITION]
  • [C] Mustafa Misir, Pieter Smet, Katja Verbeeck, Greet Vanden Berghe, Security Personnel Routing and Rostering: a Hyper-heuristic Approach, the 3rd International Conference on Applied Operational Research (ICAOR11), LNMS vol.3, Istanbul, Turkey, 2011.  [PDF] [PS] [PPT] [DATASET]
  • [C] Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe, A New Hyper-heuristic Implementation in HyFlex: a Study on Generality, the 5th Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA11), Phoenix/Arizona, USA, 2011.  [PDF] [PS] [PPT]
  • [C] Mustafa Misir, Wim Vancroonenburg, Katja Verbeeck, Greet Vanden Berghe, A Selection Hyper-heuristic for Scheduling Deliveries of Ready-Mixed Concrete, the 9th Metaheuristics International Conference (MIC11), Udine, Italy, 2011.  [PDF] [PS] [PPT] [DATASET]
  • [C] Tommaso Urli, Luca Di Gaspero, A Reinforcement Learning approach for the Cross-Domain Heuristic Search Challenge, the 9th Metaheuristics International Conference (MIC11), Udine, Italy, 2011.  [PDF] [PS] [PPT]
  • [C] Jésica de Armas, Gara Miranda, Coromoto León, Hyperheuristic Encoding Scheme for Multi-objective Guillotine Cutting Problems, the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO11), Dublin, Ireland, 2011.  [PDF] [PS] [PPT]
  • [C] Jose Carlos Ortiz-Bayliss, Hugo Terashima-Marin, Peter Ross, Santiago Enrique Conant-Pablos, Evolution of Neural Networks Topologies and Learning Parameters to Produce Hyper-heuristics for Constraint Satisfaction Problems, the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO11), Dublin, Ireland, 2011.  [PDF] [PS] [PPT]
  • [C] Eunice Lopez-Camacho, Hugo Terashima-Marin, Peter Ross, A Hyper-heuristic for Solving One and Two-dimensional Bin Packing Problems, the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO11), Dublin, Ireland, 2011.  [PDF] [PS] [PPT]
  • [C] Kent McClymont, Edward C. Keedwell, Markov Chain Hyper-heuristic (MCHH): an Online Selective Hyper-heuristic for Multi-objective Continuous Problems, the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO11), Dublin, Ireland, 2011.  [PDF] [PS] [PPT]
  • [C] Su Nguyen, Mengjie Zhang, A Genetic Programming based Hyper-heuristic Approach for Combinatorial Optimisation, the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO11), Dublin, Ireland, 2011.  [PDF] [PS] [PPT]
  • [C] Edmund Burke, Michel Gendreau, Gabriela Ochoa, James Walker, Adaptive Iterated Local Search for Cross-domain Optimisation, the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO11), Dublin, Ireland, 2011.  [PDF] [PS] [PPT]
  • [C] Jose Carlos Ortiz-Bayliss, Hugo Terashima-Marin, Ender Ozcan, Andrew Parkes, On the Idea of Evolving Decision Matrix Hyper-heuristics for Solving Constraint Satisfaction Problems, the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO11), Dublin, Ireland, 2011.  [PDF] [PS] [PPT]
  • [C] Gabriela Ochoa, Matthew Hyde, Edmund Burke, Automated Heuristic Design, the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO11), Dublin, Ireland, 2011.  [PDF] [PS] [PPT]
  • [C] Ender Ozcan, Andrew Parkes, Policy Matrix Evolution for Generation of Heuristics, the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO11), Dublin, Ireland, 2011.  [PDF] [PS] [PPT]
  • [C] John Woodward, Jerry Swan, Automatically Designing Selection Heuristics, the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO11), Dublin, Ireland, 2011.  [PDF] [PS] [PPT]
  • [C] Abdul Razak Hamdan, MYNDA: An IDSS Generator with Hyperheuristic Attribute Reduction, the IEEE International Conference on Electrical Engineering and Informatics (IEEE ICEEI11), Bandung, Indonesia, 2011.  [PDF] [PS] [PPT]
  • [C] Ei Shwe Sin, Reinforcement Learning with EGD based Hyper heuristic System for Exam Timetabling Problem, the IEEE International Conference on Cloud Computing and Intelligent Systems (IEEE CCIS11), Beijing, China, 2011.  [PDF] [PS] [PPT]
  • [C] Khamassi Imen, Hammami Moez, Ghedira Khaled, Ant-Q Hyper-heuristic Approach for Solving 2-dimensional Cutting Stock Problem, the IEEE Symposium on Swarm Intelligence (IEEE SIS11), Paris, France, 2011.  [PDF] [PS] [PPT]
  • [C] Ender Ozcan, Ahmed Kheiri, A Hyper-heuristic based on Random Gradient, Greedy and Dominance, the 26th International Symposium on Computer and Information Sciences (IEEE ISCIS11), London, UK, 2011.  [PDF] [PS] [PPT]
  • [C] Fatma Corut Ergin, Aysegul Yayimli, Sima Uyar, Survivable Cross-layer Virtual Topology Design using a Hyper-heuristic Approach, the 13th International Conference on Transparent Optical Networks (IEEE ICTON11), Stockholm, Sweden, 2011.  [PDF] [PS] [PPT]
  • [C] He Jiang, Shuyan Zhang, Jifeng Xuan, Youxi Wu, Frequency Distribution Based Hyper-Heuristic for the Bin-Packing Problem, the 11th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP11), LNCS vol.6622/2011, Torino, Italy, 2011.  [PDF] [PS] [PPT]
  • [C] Berna Kiraz, Sima Etaner Uyar, Ender Ozcan, An Investigation of Selection Hyper-heuristics in Dynamic Environments, the 11th European Conference on the Applications of Evolutionary Computation (EvoApplications11), LNCS vol.6624/2011, Torino, Italy, 2011.  [PDF] [PS] [PPT]
  • [C] Argun Berberoglu, Sima Etaner Uyar, Experimental Comparison of Selection Hyper-heuristics for the Short-Term Electrical Power Generation Scheduling Problem, the 11th European Conference on the Applications of Evolutionary Computation (EvoApplications11), LNCS vol.6625/2011, Torino, Italy, 2011.  [PDF] [PS] [PPT]
  • [C] Fatma Corut Ergin, Sima Etaner Uyar, Aysegul Gencata Yayimli, Investigation of Hyper-Heuristics for Designing Survivable Virtual Topologies in Optical WDM Networks, the 11th European Conference on the Applications of Evolutionary Computation (EvoApplications11), LNCS vol.6625/2011, Torino, Italy, 2011.  [PDF] [PS] [PPT]
  • [C] Behrooz Koohestani, Riccardo Poli, A Hyper-Heuristic Approach to Evolving Algorithms for Bandwidth Reduction Based on Genetic Programming, the 31st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (SGAI11), Cambridge, UK, 2011.  [PDF] [PS] [PPT]
  • [C] Luciana Abednego, Dwi Hendratmo, Genetic Programming Hyper-heuristic for Solving Dynamic Production Scheduling Problem, the 3rd International Conference on Electrical Engineering and Informatics (ICEEI11), Bandung, Indonesia, 2011.  [PDF] [PS] [PPT]
  • [C] Carlos Cobos, Martha Mendoza, Elizabeth Leon, A Hyper-heuristic Approach to Design and Tuning Heuristic Methods for Web Document Clustering, the IEEE Congress on Evolutionary Computation (IEEE CEC11), New Orleans, USA, 2011.  [PDF] [PS] [PPT]
  • [C] Leslie Perez, María-Cristina Riff, New Bounds for the Relaxed Traveling Tournament Problems using an Artificial Immune Algorithm, the IEEE Congress on Evolutionary Computation (IEEE CEC11), New Orleans, USA, 2011.  [PDF] [PS] [PPT]
  • [C] Broderick Crawford, Ricardo Soto, Carlos Castro, Eric Monfroy, A Hyperheuristic Approach for Dynamic Enumeration Strategy Selection in Constraint Satisfaction, the 4th International Work-Conference on Interplay between Natural and Artificial Computation: New Challenges on Bioinspired Applications (IWINAC11), LNCS vol.6687/2011, Canary Islands, Spain, 2011.  [PDF] [PS] [PPT]
  • [C] Michael Kampouridis, Edward Tsang, Using Hyperheuristics under a GP Framework for Financial Forecasting, the 5th Learning and Intelligent OptimizatioN Conference (LION11), LNCS vol.6683/2011, Rome, Italy, 2011.  [PDF] [PS] [PPT]
  • [C] Jerry Swan, Ender Ozcan, Graham Kendall, HYPERION - A Recursive Hyper-heuristic Framework, the 5th Learning and Intelligent OptimizatioN Conference (LION11), LNCS vol.6683/2011, Rome, Italy, 2011.  [PDF] [PS] [PPT]
  • [C] Paula Hernandez, Claudia Gomez, Laura Cruz, Alberto Ochoa, Norberto Castillo, Gilberto Rivera, Hyperheuristic for the Parameter Tuning of a Bio-Inspired Algorithm of Query Routing in P2P Networks, the 10th Mexican International Conference on Artificial Intelligence (MICAI11), LNAI vol.7095/2011, Puebla, Mexico, 2011.  [PDF] [PS] [PPT]
  • [C] Montazeri Mitra, Abbas Bahrololoum, Hossein Nezamabadi-pour, Mahdieh Soleymani Baghshah, Mahdieh Montazeri, Cooperating of Local Searches based Hyperheuristic Approach for Solving Traveling Salesman Problem, the 3rd International Conference on Evolutionary Computation Theory and Applications (ECTA11), Paris, France, 2011.  [PDF] [PS] [PPT]
  • [C] Mustafa Misir, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker, Design of a Generic Selection Hyper-heuristic, the 25th Belgian Conference on Operations Research (ORBEL11), Gent, Belgium, 2011.  [PDF] [PS] [PPT]
  • [C] Pieter Smet, Mustafa Misir, Greet Vanden Berghe, An Introduction to New Application Domains for the Home Care Scheduling Problem, the 25th Belgian Conference on Operations Research (ORBEL11), Gent, Belgium, 2011.  [PDF] [PS] [PPT]
  • [C] Wim Vancroonenburg, Mustafa Misir, Greet Vanden Berghe, A Hyper-heuristic Approach for the Ready-Mixed Concrete Delivery Problem, the 25th Belgian Conference on Operations Research (ORBEL11), Gent, Belgium, 2011.  [PDF] [PS] [PPT]
  • [W] Edmund Burke, Rong Qu, Amr Soghier, An Adaptive Tie Breaking and Hybridisation Hyper-Heuristic for Exam Timetabling Problems, the 5th International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO11), Cluj Napoca, Romania, 2011.  [PDF] [PS] [PPT]
  • [W] Eduardo Segredo, Carlos Segura, Coromoto León, Analysing the Adaptation Level of Parallel Hyperheuristics Applied to Mono-objective Optimisation Problems, the 5th International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO11), Cluj Napoca, Romania, 2011.  [PDF] [PS] [PPT]
  • [R] Edmund Burke, Tim Curtois, Matthew Hyde, Gabriela Ochoa, Jose A. Vazquez-Rodriguez, HyFlex: A Benchmark Framework for Cross-domain Heuristic Search, Arxiv preprint arXiv:1107.5462, 2011.  [PDF] [PS] [SOFTWARE LIBRARY]
  • [T] Bradley Casey, Optimising Container Processes at Multimodal Seaport Terminals : an Integrated Approach and Application, PhD Thesis, Mathematical Sciences School, Queensland University of Technology, 2011.  [PDF] [PS]
  • [T] Murat Birben, Hyper-heuristics for Grouping Problems, MSc Thesis, Department of Computer Engineering, Yeditepe University, 2011.  [PDF] [PS]
  • [T] Andreas Lehrbaum, A New Hyperheuristic Algorithm for Cross-Domain Search Problems, MSc Thesis, Faculty of Informatics, Vienna University of Technology, 2011.  [PDF] [PS]

[ YEAR: 2010 ]   {#}

  • [J] Jaime Cano-Belman, Roger Z. Rios-Mercado, Joaquin Bautista, A Scatter Search based Hyper-heuristic for Sequencing a Mixed-model Assembly Line, Journal of Heuristics, 16(6), Springer, 2010.  [PDF] [PS]
  • [J] David Meignan, Abderrafiaa Koukam, Jean-Charles Creput, Coalition-based Metaheuristic: a Self-Adaptive Metaheuristic using Reinforcement Learning and Mimetism, Journal of Heuristics, 16(6), Springer, 2010.  [PDF] [PS]
  • [J] Edmund Burke, Matthew Hyde, Graham Kendall, John Woodward, A Genetic Programming Hyper-Heuristic Approach for Evolving 2-Dimensional Strip Packing Heuristics, IEEE Transactions on Evolutionary Computation, 14(6), IEEE, 2010.  [PDF] [PS]
  • [J] Pablo Garrido, Maria Cristina Riff, DVRP: a Hard Dynamic Combinatorial Optimisation Problem Tackled by an Evolutionary Hyper-heuristic, Journal of Heuristics, 16(6), Springer, 2010.  [PDF] [PS]
  • [J] Djamila Ouelhadj, Sanja Petrovic, A Cooperative Hyper-heuristic Search Framework, Journal of Heuristics, 16(6), Springer, 2010.  [PDF] [PS]
  • [J] Jose Antonio Vázquez Rodriguez, Sanja Petrovic, A New Dispatching Rule based Genetic Algorithm for the Multi-objective Job Shop Problem, Journal of Heuristics, 16(6), Springer, 2010.  [PDF] [PS]
  • [J] Hugo Terashima-Marin, Peter Ross, Claudia J. Farias Zarate, Eunice Lopez-Camacho, Manuel Valenzuela-Rendon, Generalized Hyper-heuristics for Solving 2D Regular and Irregular Packing Problems, Annals of Operations Research, 179(1), Springer, 2010.  [PDF] [PS]
  • [J] Ender Ozcan, Mustafa Misir, Gabriela Ochoa, Edmund Burke, A Reinforcement Learning - Great Deluge Hyperheuristic for Examination Timetabling, International Journal of Applied Metaheuristic Computing, 1(1), IGI Global, 2010.  [PDF] [PS]
  • [J] Darian Raad, Alexander Sinske, Jan van Vuuren, Multiobjective Optimization for Water Distribution System Design Using a Hyperheuristic, Journal of Water Resources Planning and Management, 136(5), ASCE, 2010.  [PDF] [PS]
  • [J] Omar Danilo Castrillón, William Ariel Sarache, Jaime Alberto Giraldo, Design of a Hyperheuristic for Production Scheduling in Job Shop Environments, Ingeniare. Revista Chilena de Ingeniería, 18(2), Universidad de Tarapacá, 2010.  [PDF] [PS]
  • [J] Prapa Rattadilok, An Investigation and Extension of a Hyper-heuristic Framework, Informatica, 34(4), Slovenian Society Informatika, 2010.  [PDF] [PS]
  • [B] Edmund Burke, Matthew Hyde, Graham Kendall, Gabriela Ochoa, Ender Ozcan, John Woodward, A Classification of Hyper-heuristic Approaches, Handbook of Metaheuristics, International Series in Operations Research & Management Science, vol.146, 2010.  [PDF] [PS] [CLASSIFICATION]
  • [C] Eunice Lopez-Camacho, Hugo Terashima-Marin, Peter Ross, Manuel Valenzuela-Rendon, Problem-state Representations in a Hyper-heuristic Approach for the 2D Irregular BPP, the 12th Annual Conference on Genetic and Evolutionary Computation (GECCO10), Portland/Oregon, USA, 2010.  [PDF] [PS] [PPT]
  • [C] Argun Berberoglu, Sima Uyar, A Hyper-Heuristic Approach for the Unit Commitment Problem, the 10th European Conference on the Applications of Evolutionary Computation (EvoApplications10), LNCS vol.6025/2010, Istanbul, Turkey, 2010.  [PDF] [PS] [PPT]
  • [C] Edmund Burke, Qiang Guo, Graham Kendall, A Hyper-heuristic Approach to Strip Packing Problems, the 11th Conference on Parallel Problem Solving from Nature (PPSN10), LNCS vol.6238/2011, Krakow, Poland, 2010.  [PDF] [PS] [PPT]
  • [C] Jonathon Gibbs, Graham Kendall, Ender Ozcan, Scheduling English Football Fixtures over the Holiday Period using Hyper-heuristics, the 11th Conference on Parallel Problem Solving from Nature (PPSN10), LNCS vol.6238/2011, Krakow, Poland, 2010.  [PDF] [PS] [PPT]
  • [C] Zhilei Ren, He Jiang, Jifeng Xuan, Zhongxuan Luo, Ant based Hyper Heuristics with Space Reduction: a Case Study of the p-Median Problem, the 11th Conference on Parallel Problem Solving from Nature (PPSN10), LNCS vol.6238/2011, Krakow, Poland, 2010.  [PDF] [PS] [PPT]
  • [C] Salwani Abdullah, Nasser Sabar, Mohd Zakree Ahmad Nazri, Hamza Turabieh, Barry McCollum, A Constructive Hyper-heuristics for Rough Set Attribute Reduction, the 10th International Conference on Intelligent Systems Design and Applications (ISDA10), Cairo, Egypt, 2010.  [PDF] [PS] [PPT]
  • [C] Berna Kiraz, Haluk Topcuoglu, Hyper-heuristic Approaches for the Dynamic Generalized Assignment Problem, the 10th International Conference on Intelligent Systems Design and Applications (ISDA10), Cairo, Egypt, 2010.  [PDF] [PS] [PPT]
  • [C] Richard Malek, An Agent-Based Hyper-Heuristic Approach to Combinatorial Optimization Problems, the 2nd IEEE International Conference on Intelligent Computing and Intelligent Systems (IEEE ICIS10), Xiamen, China, 2010.  [PDF] [PS] [PPT]
  • [C] Tony Wauters, Wim Vancrooenburg, Greet Vanden Berghe, A Two Phase Hyper-heuristic Approach for Solving the Eternity II Puzzle, the 2nd International Conference on Metaheuristics and Nature Inspired Computing (META10), Djerba Island, Tunisia, 2010.  [PDF] [PS] [PPT] [COMPETITION]
  • [C] Andrew J. Parkes, Combined Blackbox and AlgebRaic Architecture (CBRA), the 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT10), Belfast, Northern Ireland, 2010.  [PDF] [PS] [PPT]
  • [C] Wim Vancroonenburg, Mustafa Misir, Burak Bilgin, Peter Demeester, Greet Vanden Berghe, Hyper-heuristic Approach for Assigning Patients to Hospital Rooms, the 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT10), Belfast, Northern Ireland, 2010.  [PDF] [PS] [PPT] [DATASET]
  • [C] Burak Bilgin, Peter Demeester, Mustafa Misir, Wim Vancroonenburg, Greet Vanden Berghe, Tony Wauters, A Hyper-heuristic Combined with a Greedy Shuffle Approach to the Nurse Rostering Competition, the 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT10), Belfast, Northern Ireland, 2010.  [PDF] [PS] [PPT] [COMPETITION]
  • [C] Edmund Burke, Rong Qu, Amr Soghier, Adaptive Selection of Heuristics for Improving Constructed Exam Timetables, the 8th International Conference on the Practice and Theory of Automated Timetabling (PATAT10), Belfast, Northern Ireland, 2010.  [PDF] [PS] [PPT]
  • [C] Edmund Burke, Tim Curtois, Matthew Hyde, Graham Kendall, Gabriela Ochoa, Sanja Petrovic, Jose Antonio Vázquez Rodriguez, Michel Gendreau, Iterated Local Search vs. Hyper-heuristics: Towards General-Purpose Search Algorithms, the IEEE Congress on Evolutionary Computation (IEEE CEC10), Barcelona, Spain, 2010.  [PDF] [PS] [PPT]
  • [C] Jacomine Grobler, Andries Petrus Engelbrecht, Graham Kendall, Sarma Yadavalli, Alternative Hyper-heuristic Strategies for Multi-method Global Optimization, the IEEE Congress on Evolutionary Computation (IEEE CEC10), Barcelona, Spain, 2010.  [PDF] [PS] [PPT]
  • [C] Mustafa Misir, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe, Hyper-heuristics with a Dynamic Heuristic Set for the Home Care Scheduling Problem, the IEEE Congress on Evolutionary Computation (IEEE CEC10), Barcelona, Spain, 2010.  [PDF] [PS] [PPT]
  • [C] Shaheen Fatima, Mohamed Bader-El-Den, Co-evolutionary Hyper-heuristic Method for Auction based Scheduling, the IEEE Congress on Evolutionary Computation (IEEE CEC10), Barcelona, Spain, 2010.  [PDF] [PS] [PPT]
  • [C] Marcus Furuholmen, Kyrre Glette, Mats Hovin, Jim Torresen, A Coevolutionary, Hyper Heuristic approach to the Optimization of Three-dimensional Process Plant Layouts — A Comparative Study, the IEEE Congress on Evolutionary Computation (IEEE CEC10), Barcelona, Spain, 2010.  [PDF] [PS] [PPT]
  • [C] Christoph W. Pickardt, Jurgen Branke, Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reiter, Generating Dispatching Rules for Semiconductor Manufacturing to Minimize Weighted Tardiness , the 42nd Winter Simulation Conference (WSC10), Baltimore/Maryland, USA, 2010.  [PDF] [PS] [PPT]
  • [C] Broderick Crawford, Carlos Castro, Eric Monfroy, A Hyperheuristic Approach for Constraint Solving, the IEEE Electronics, Robotics and Automotive Mechanics Conference (IEEE CERMA10), Cuernavaca, Mexico, 2010.  [PDF] [PS] [PPT]
  • [C] Rosanne Els, Nelishia Pillay, An Evolutionary Algorithm Hyper-heuristic for Producing Feasible Timetables for the Curriculum based University Course Timetabling Problem, the 2nd World Congress on Nature and Biologically Inspired Computing (NaBIC10), Kitakyushu, Japan, 2010.  [PDF] [PS] [PPT]
  • [C] Jesica de Armas, Gara Miranda, Coromoto Leon, Codifications in Evolutionary Algorithms for the Multi-Objective 2D Guillotine Strip Packing Problem, the 24th EURO Conference on Operational Research (EURO10), Lisbon, Portugal, 2010.  [PDF] [PS] [PPT]
  • [C] Aleksandra Swiercz, Wojciech Mruczkiewicz, Jacek Blazewicz, Graham Kendall, Edmund Burke, A Study of Different Hyper-heuristics for Sequencing by Hybridization Problem, the 24th EURO Conference on Operational Research (EURO10), Lisbon, Portugal, 2010.  [PDF] [PS] [PPT]
  • [C] Nelishia Pillay, An Empirical Study into the Structure of Heuristic Combinations in an Evolutionary Algorithm Hyper-heuristic for the Examination Timetabling Problem, the Annual Research Conference of the South African Institute for Computer Scientists and Information Technologists (SAICSIT10), Bela Bela, South Africa, 2010.  [PDF] [PS] [PPT]
  • [C] Nelishia Pillay, A Study into the Use of Hyper-heuristics to Solve the School Timetabling Problem, the Annual Research Conference of the South African Institute for Computer Scientists and Information Technologists (SAICSIT10), Bela Bela, South Africa, 2010.  [PDF] [PS] [PPT]
  • [C] Ami Hauptman, Achiya Elyasaf, Moshe Sipper, Evolving Hyper Heuristic-Based Solvers for Rush Hour and FreeCell, the 3rd Annual Symposium on Combinatorial Search (SOCS10), Atlanta/Georgia, USA, 2010.  [PDF] [PS] [PPT]
  • [C] Juan Carlos Gomez, Hugo Terashima-Marin, Approximating Multi-Objective Hyper-Heuristics for Solving 2D Irregular Cutting Stock Problems, the 9th Mexican International Conference on Artificial Intelligence (MICAI10), LNCS vol.6438/2010, Pachuca, Mexico, 2010.  [PDF] [PS] [PPT]
  • [C] Mustafa Misir, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker, Hyper-heuristics Learning a Varying Set of Low-level Heuristics, the 24th Belgian Conference on Operations Research (ORBEL10), Liege, Belgium, 2010.  [PDF] [PS] [PPT]
  • [T] Peter Demeester, Heuristic Approaches for Real World Timetabling Problems in Education and Health Care, hD Thesis, Department of Computer Science, KU Leuven, 2010.  [PDF] [PS]
  • [T] Joe Henry Obit, Developing Novel Meta-heuristic, Hyper-heuristic and Cooperative Search for Course Timetabling Problems, PhD Thesis, School of Computer Science, University of Nottingham, 2010.  [PDF] [PS]
  • [T] Matthew Hyde, A Genetic Programming Hyper-Heuristic Approach to Automated Packing, PhD Thesis, School of Computer Science, University of Nottingham, 2010.  [PDF] [PS]

[ YEAR: 2009 ]   {#}

  • [J] Hishammuddin Asmuni, Edmund Burke, Jonathan Garibaldi, Barry McCollum, Andrew Parkes, An Investigation of Fuzzy Multiple Heuristic Orderings in the Construction of University Examination Timetables, Computers and Operations Research, 36(4), Elsevier, 2009.  [PDF] [PS]
  • [J] Rong Qu, Edmund Burke, Hybridizations within a Graph-based Hyper-heuristic Framework for University Timetabling Problems, International Journal of the Operational Research Society, 60(9), Palgrave Macmillan, 2009.  [PDF] [PS]
  • [J] Rong Qu, Edmund Burke, Barry McCollum, Adaptive Automated Construction of Hybrid Heuristics for Exam Timetabling and Graph Colouring Problems, European Journal of Operational Research, 198(2), Elsevier, 2009.  [PDF] [PS]
  • [J] Nelishia Pillay, Wolfgang Banzhaf, A Study of Heuristic Combinations for Hyper-heuristic Systems for the Uncapacitated Examination Timetabling Problem, European Journal of Operational Research, 197(2), Elsevier, 2009.  [PDF] [PS]
  • [J] Mohamed Bader-El-Den, Riccardo Poli, Shaheen Fatima, Evolving Timetabling Heuristics using a Grammar-based Genetic Programming Hyper-heuristic Framework, Memetic Computing, 1(3), Springer, 2009.  [PDF] [PS]
  • [B] Mohamed Bader-El-Den, Riccardo Poli, Evolving Effective Incremental Solvers for SAT with a Hyper-heuristic Framework based on Genetic Programming, Genetic Programming Theory and Practice VI, 2009.  [PDF] [PS]
  • [B] Edmund Burke, Matthew Hyde, Graham Kendall, Gabriela Ochoa, John Woodward, Exploring Hyper-heuristic Methodologies with Genetic Programming, Collaborative Computational Intelligence, Intelligent Systems Reference Library, vol.1, 2009.  [PDF] [PS] [TUTORIAL] [SURVEY]
  • [C] Sam Allen, Edmund Burke, Matthew Hyde, Graham Kendall, Evolving Reusable 3D Packing Heuristics with Genetic Programming, the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO09), Montreal, Canada, 2009.  [PDF] [PS] [PPT]
  • [C] Gabriela Ochoa, Rong Qu, Edmund Burke, Analyzing the Landscape of a Graph based Hyper-heuristic for Timetabling Problems, the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO09), Montreal, Canada, 2009.  [PDF] [PS] [PPT]
  • [C] Marco Biazzini, Balazs Banhelyi, Alberto Montresor, Mark Jelasity, Distributed Hyper-heuristics for Real Parameter Optimization, the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO09), Montreal, Canada, 2009.  [PDF] [PS] [PPT]
  • [C] José Carlos Ortiz-Bayliss, Hugo Terashima-Marin, Peter Ross, Jorge Ivan Fuentes-Rosado, Manuel Valenzuela-Rendon, A Neuro-evolutionary Approach to Produce General Hyper-heuristics for the Dynamic Variable Ordering in Hard Binary Constraint Satisfaction Problems, the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO09), Montreal, Canada, 2009.  [PDF] [PS] [PPT]
  • [C] Djamila Ouelhadj, Sanja Petrovic, Ender Ozcan, A Multi-level Search Framework for Asynchronous Cooperation of Multiple Hyper-heuristics, the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO09), Montreal, Canada, 2009.  [PDF] [PS] [PPT]
  • [C] Ender Ozcan, Sima Etaner Uyar, Edmund Burke, A Greedy Hyper-heuristic in Dynamic Environments, the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO09), Montreal, Canada, 2009.  [PDF] [PS] [PPT]
  • [C] Sean A. Bittle, Mark S. Fox, Learning and Using Hyper-heuristics for Variable and Value Ordering in Constraint Satisfaction Problems, the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO09), Montreal, Canada, 2009.  [PDF] [PS] [PPT]
  • [C] Pablo Garrido, Carlos Castro, Stable solving of CVRPs using hyperheuristics, the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO09), Montreal, Canada, 2009.  [PDF] [PS] [PPT]
  • [C] Coromoto Leon, Gara Miranda, Carlos Segura, A Memetic Algorithm and a Parallel Hyperheuristic Island-based Model for a 2D Packing Problem, the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO09), Montreal, Canada, 2009.  [PDF] [PS] [PPT]
  • [C] Paresh Tolay, Rajeev Kumar, Evolution of Hyperheuristics for the Biobjective Graph Coloring Problem using Multiobjective Genetic Programming, the 11th Annual Conference on Genetic and Evolutionary Computation (GECCO09), Montreal, Canada, 2009.  [PDF] [PS] [PPT]
  • [C] Mohamed Bader-El-Den, Riccardo Poli, Grammar-based Genetic Programming for Timetabling, the IEEE Congress on Evolutionary Computation (IEEE CEC09), Trondheim, Norway, 2009.  [PDF] [PS] [PPT]
  • [C] Gabriela Ochoa, Jose Antonio Vazquez-Rodriguez, Sanja Petrovic, Edmund Burke, Dispatching Rules for Production Scheduling: a Hyper-heuristic Landscape Analysis, the IEEE Congress on Evolutionary Computation (IEEE CEC09), Trondheim, Norway, 2009.  [PDF] [PS] [PPT]
  • [C] Ender Ozcan, Yuri Bykov, Murat Birben, Edmund Burke, Examination Timetabling Using Late Acceptance Hyper-heuristics, the IEEE Congress on Evolutionary Computation (IEEE CEC09), Trondheim, Norway, 2009.  [PDF] [PS] [PPT]
  • [C] Broderick Crawford, Mauricio Montecinos, Carlos Castroy, Eric Monfroy, A Choice Function to Dynamic Selection of Enumeration Strategies Solving Constraint Satisfaction Problems, the 1st International Conference of Soft Computing and Pattern Recognition (SOCPAR09), Malacca, Malaysia, 2009.  [PDF] [PS] [PPT]
  • [C] Ibrahim Maden, Sima Uyar, Ender Ozcan, Landscape Analysis of Simple Perturbative Hyper-heuristics, the 15th International Conference on Soft Computing (MENDEL09), Brno, Czech Republic, 2009.  [PDF] [PS] [PPT]
  • [C] Broderick Crawford, Mauricio Montecinos, Carlos Castro, Eric Monfroy, A Hyperheuristic Approach to Select Enumeration Strategies in Constraint Programming, the 9th WSEAS International Conference on Applied Informatics and Communications (AIC09), Moscow, Russia, 2009.  [PDF] [PS] [PPT]
  • [C] Riccardo Poli, Mario Graff, There is a Free Lunch for Hyper-Heuristics, Genetic Programming and Computer Scientists, the 12th European Conference on Genetic Programming (EuroGP09), Tübingen, Germany, 2009.  [PDF] [PS] [PPT] [NFL]
  • [C] Mustafa Misir, Katja Verbeeck, Greet Vanden Berghe, Patrick De Causmaecker, A Hyper-heuristic Approach to the Home Care Scheduling Problem, the 14th Belgian-French-German Conference on Optimization (BFG09), Leuven, Belgium, 2009. [PDF] [PS] [PPT]
  • [C] Mustafa Misir, Burak Bilgin, Peter Demeester, Katja Verbeeck, Patrick De Causmaecker, Greet Vanden Berghe, A Hyper-heuristic Approach to the Patient Admission Scheduling Problem, the 35th International Conference of Operational Research Applied to Health Services (ORAHS09), Leuven, Belgium, 2009.  [PDF] [PS] [PPT] [DATASET]
  • [C] Mustafa Misir, Tony Wauters, Katja Verbeeck, Greet Vanden Berghe, A New Learning Hyper-heuristic for the Traveling Tournament Problem, the 8th Metaheuristics International Conference (MIC09), Hamburg, Germany, 2009. [PDF] [PS] [PPT] [DATASET]
  • [C] Joe Henry Obit, Dario Landa Silva, Djamila Ouelhadj, Marc Sevaux, Non-Linear Great Deluge with Learning Mechanism for Solving the Course Timetabling Problem, the 8th Metaheuristics International Conference (MIC09), Hamburg, Germany, 2009. [PDF] [PS] [PPT]
  • [C] Burak Bilgin, Patrick De Causmaecker, Greet Vanden Berghe, A Hyperheuristic Approach to Belgian Nurse Rostering Problems, the 4th Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA09), Dublin, Ireland, 2009. [PDF] [PS] [PPT]
  • [C] Edmund Burke, Rong Qu, Amr Soghier Adaptive Selection of Heuristics within a GRASP for Exam Timetabling Problems, the 4th Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA09), Dublin, Ireland, 2009. [PDF] [PS] [PPT]
  • [C] Matthew Hyde, Ender Ozcan, Edmund Burke, Multilevel Search for Evolving the Acceptance Criteria of a Hyper-Heuristic, the 4th Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA09), Dublin, Ireland, 2009. [PDF] [PS] [PPT]
  • [C] Ender Ozcan, Edmund Burke, Multilevel Search for Choosing Hyper-heuristics, the 4th Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA09), Dublin, Ireland, 2009. [PDF] [PS] [PPT]
  • [C] Ender Ozcan, Mustafa Misir, Edmund Burke, A Self-organising Hyper-heuristic Framework, the 4th Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA09), Dublin, Ireland, 2009. [PDF] [PS] [PPT]
  • [C] Nelishia Pillay, Evolving Hyper-Heuristics for the Uncapacitated Examination Timetabling Problem, the 4th Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA09), Dublin, Ireland, 2009. [PDF] [PS] [PPT]
  • [C] Mustafa Misir, Patrick De Causmaecker, Katja Verbeeck, Greet Vanden Berghe, Hyper-heuristics: Raising the Level of Generality, the 23rd Belgian Conference on Operations Research (ORBEL09), Leuven, Belgium, 2009. [PDF] [PS] [PPT]
  • [T] Mohamed Bader-El-Den, Investigation of the Role of Genetic Programming in a Hyper-Heuristic Framework for Combinatorial Optimization Problems, PhD Thesis, School of Computer Science and Electronic Engineering, University of Essex, 2009.  [PDF] [PS]
  • [T] Shahrzad Mohammad Pour, Tolerable Constructive Graph-Based Hyper-Heuristic Algorithm For Examination Timetabling, MSc Thesis, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 2009.  [PDF] [PS]
  • [T] Wojciech Mruczkiewicz, Hyper-heuristics for Sequencing by Hybridisation Problem, MSc Thesis, Institute of Computing Science, Poznan University of Technology, 2009.  [PDF] [PS]

[ YEAR: 2008 ]   {#}

  • [J] Ruibin Bai, Edmund Burke, Graham Kendall, Heuristic, Meta-heuristic and Hyper-heuristic Approaches for Fresh Produce Inventory Control and Shelf Space Allocation, Journal of the Operational Research Society, 59(10), Palgrave Macmillan, 2008.  [PDF] [PS]
  • [J] Alex Fukunaga, Automated Discovery of Local Search Heuristics for Satisfiability Testing, Evolutionary Computation, 16(1), MIT, 2008.  [PDF] [PS]
  • [J] Ender Ozcan, Burak Bilgin, Emin Erkan Korkmaz, A Comprehensive Analysis of Hyper-heuristics, Intelligent Data Analysis, 12(1), IOS, 2008.  [PDF] [PS]
  • [J] Fadi Thabtah, Peter Cowling, Mining the Data from a Hyperheuristic Approach using Associative Classification, Expert Systems with Applications, 34(2), Elsevier, 2008.  [PDF] [PS]
  • [J] Mary Saira Bhanu, Nagamaputhur Gopalan, A Hyper-Heuristic Approach for Efficient Resource Scheduling in Grid, International Journal of Computers, Communications & Control, 3(3), Universitatea Agora, 2008.  [PDF] [PS]
  • [B] Konstantin Chakhlevitch, Peter Cowling, Hyperheuristics: Recent Developments, Adaptive and Multilevel Metaheuristics, Studies in Computational Intelligence, vol.136, 2008.  [PDF] [PS] [SURVEY]
  • [C] Djamila Ouelhadj, Sanja Petrovic, A Cooperative Distributed Hyper-heuristic Framework for Scheduling, the IEEE International Conference on Systems, Man, and Cybernetics (SMC08), Singapore, 2008. [PDF] [PS] [PPT]
  • [C] Robert Keller, Riccardo Poli, Cost-Benefit Investigation of a Genetic-Programming Hyperheuristic, the 8th International Conference on Evolution Artificielle (EA08), LNCS vol.4926, Tours, France, 2008.  [PDF] [PS] [PPT]
  • [C] Robert Keller, Riccardo Poli, Self-adaptive Hyperheuristic and Greedy Search, the IEEE Congress on Evolutionary Computation (IEEE CEC08), Hong Kong, 2008.  [PDF] [PS] [PPT]
  • [C] Robert Keller, Riccardo Poli, Subheuristic Search and Scalability in a Hyperheuristic, the 10th Annual Conference on Genetic and Evolutionary Computation (GECCO08), Atlanta/Georgia, USA, 2008.  [PDF] [PS] [PPT]
  • [C] Burak Bilgin, Peter Demeester, Greet Vanden Berghe, Tony Wauters, A Model and a Hyperheuristic Approach for Automated Assignment of Patients to Beds in a Hospital, the 2nd International Conference on Metaheuristics and Nature Inspired Computing (META08), Hammamet, Tunusia, 2008.  [PDF] [PS] [PPT]
  • [C] Edmund Burke, Mustafa Misir, Gabriela Ochoa, Ender Ozcan, Learning Heuristic Selection in Hyperheuristics for Examination Timetabling, the 7th International Conference of Practice and Theory of Automated Timetabling (PATAT08), Montreal, Canada, 2008. [PDF] [PS] [PPT]
  • [C] Edmund Burke, Graham Kendall, Mustafa Misir, Ender Ozcan, A Study of Simulated Annealing Hyperheuristics, the 7th International Conference of Practice and Theory of Automated Timetabling (PATAT08), Montreal, Canada, 2008. [PDF] [PS] [PPT]
  • [T] Mustafa Misir, Group Decision Making for Move Acceptance in Hyperheuristics, MSc Thesis, Department of Computer Engineering, Yeditepe University, 2008.  [PDF] [PS]

[ YEAR: 2007 ]   {#}

  • [J] Kathryn Dowsland, Eric Soubeiga, Edmund Burke, A Simulated Annealing Hyper-heuristic for Determining Shipper Sizes for Storage and Transportation, European Journal of Operational Research, 179(3), Elsevier, 2007.  [PDF] [PS]
  • [J] Edmund Burke, Barry McCollum, Ammon Meisels, Sanja Petrovic, Rong Qu, A Graph-Based Hyper Heuristic for Educational Timetabling Problems, European Journal of Operational Research, 176(1), Elsevier, 2007.  [PDF] [PS]
  • [J] Tho Hoan Pham, A Hyper-Heuristic for Descriptive Rule Induction, International Journal of Data Warehousing and Mining, 3(1), IGI Global, 2007.  [PDF] [PS]
  • [C] Edmund Burke, Nam Pham, Rong Qu, An Investigation of Population-based Hyper-heuristics for Graph Colouring, the 7th Metaheuristics International Conference (MIC07), Montreal, Canada, 2007.  [PDF] [PS] [PPT]
  • [C] Mohamed Bader-El-Den, Riccardo Poli, Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic Framework, the 8th International Conference on Evolution Artificielle (EA07), LNCS vol.4926/2008, Tours, France, 2007.  [PDF] [PS] [PPT]
  • [C] Pablo Garrido, María-Cristina Riff, An Evolutionary Hyperheuristic to Solve Strip-Packing Problems, the 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL07), LNCS vol.4881/2007, Birmingham, UK, 2007.  [PDF] [PS] [PPT]
  • [C] Pablo Garrido, María-Cristina Riff, Collaboration Between Hyperheuristics to Solve Strip-Packing Problems, the 12th International Fuzzy Systems Association World Congress (IFSA07), LNCS vol.4529/2007, Cancun, Mexico, 2007.  [PDF] [PS] [PPT]
  • [C] Hugo Terashima-Marin, Claudia J. Farias Zarate, Peter Ross, Manuel Valenzuela-Rendon, Comparing Two Models to Generate Hyper-heuristics for the 2D-Regular Bin-Packing Problem, the 9th Annual Conference on Genetic and Evolutionary Computation (GECCO07), New York, USA, 2007.  [PDF] [PS] [PPT]
  • [T] Pai-Chun Chen, An Investigation of a Hyper-heuristic Ant Algorithm for the Travelling Tournament Problem, MSc Thesis, School of Computer Science, University of Nottingham, 2007.  [PDF] [PS]
  • [T] Ross O'Brien, Ant Algorithm Hyperheuristic Approaches for Scheduling Problems, MSc Thesis, School of Computer Science, University of Nottingham, 2007.  [PDF] [PS]
  • [R] Mustafa Misir, A New Hyperheuristic: IDWalk based Hyper-heuristic Strategy, B.Sc. Graduation Project Report, Department of Computer Engineering, Yeditepe University, 2007.  [PDF] [PS]

[ YEAR: 2006 ]   {#}

  • [J] Aris Anagnostopoulos, Laurent Michel, Pascal Van Hentenryck, Yannis Vergados, A Simulated Annealing Approach to the Traveling Tournament Problem, Journal of Scheduling, 9(2), Springer, 2006.  [PDF] [PS] [DATASET]
  • [J] Edmund Burke, Sanja Petrovic, Rong Qu, Case Based Heuristic Selection for Timetabling Problems, Journal of Scheduling, 9(2), Springer, 2006.  [PDF] [PS]
  • [C] Hugo Terashima-Marin, Claudia J. Farias Zarate, Peter Ross, Manuel Valenzuela-Rendon, A GA-based Method to Produce Generalized Hyper-heuristics for the 2D-regular Cutting Stock Problem, the 8th Annual Conference on Genetic and Evolutionary Computation (GECCO06), Seattle/Washington, USA, 2006.  [PDF] [PS] [PPT]
  • [C] Edmund Burke, Matthew Hyde, Graham Kendall, Evolving Bin Packing Heuristics with Genetic Programming, the 9th Parallel Problem Solving from Nature (PPSN06), LNCS vol.4193/2006, Reykjavik, Iceland, 2006.  [PDF] [PS] [PPT]
  • [C] Ender Ozcan, Burak Bilgin, Emin Erkan Korkmaz, Hill Climbers and Mutational Heuristics in Hyperheuristics, the 9th Parallel Problem Solving from Nature (PPSN06), LNCS vol.4193/2006, Reykjavik, Iceland, 2006.  [PDF] [PS] [PPT]
  • [C] Burak Bilgin, Ender Ozcan, Emin Erkan Korkmaz, An Experimental Study on Hyper-Heuristics and Exam Scheduling, the 6th International Conference on the Practice and Theory of Automated Timetabling (PATAT06), LNCS vol.3867/2007, Brono, Czech Republic, 2006.  [PDF] [PS] [PPT]
  • [T] Burak Bilgin, Performance Analysis of Hyperheuristics and Their Use with Hill-Climbers, MSc Thesis, Department of Computer Engineering, Yeditepe University, 2006.  [PDF] [PS]

[ YEAR: 2005 ]   {#}

  • [B] Ruibin Bai, Graham Kendall, An Investigation of Automated Planograms Using a Simulated Annealing based Hyper-heuristics, Meta-heuristics: Progress as Real Problem Solvers, the 5th Metaheuristics International Conference - Post Conference Volume, 2005.  [PDF] [PS]
  • [B] Edmund Burke, Dario Landa Silva, Eric Soubeiga, Multi-objective Hyper-heuristic Approaches for Space Allocation and Timetabling, Meta-heuristics: Progress as Real Problem Solvers, the 5th Metaheuristics International Conference - Post Conference Volume, 2005.  [PDF] [PS]
  • [B] Peter Ross, Hyper-heuristics, Search Methodologies: Introductory Tutorials in Optimization and Decision Support Technique, 2005.  [PDF] [PS] [INTRODUCTION]
  • [C] Rong Qu, Edmund Burke, Hybrid Variable Neighbourhood Hyperheuristics for Exam Timetabling Problems, the 6th Metaheuristics International Conference (MIC05), Vienna, Austria, 2005.  [PDF] [PS] [PPT]
  • [C] Edmund Burke, Graham Kendall, Dario Landa Solva, Ross O'Brien, Eric Soubeiga, An Ant Algorithm Hyperheuristic for the Project Presentation Scheduling Problem, the IEEE Congress on Evolutionary Computation (IEEE CEC05), Edinburgh, Scotland, 2005.  [PDF] [PS] [PPT]
  • [C] Hugo Tereshima-Marin, Armando Moran-Saavedra, Peter Ross, Forming Hyper-heuristics with GAs when Solving 2D-regular Cutting Stock Problems, the IEEE Congress on Evolutionary Computation (IEEE CEC05), Edinburgh, Scotland, 2005.  [PDF] [PS] [PPT]
  • [C] Konstantin Chakhlevitch, Peter Cowling, Choosing the Fittest Subset of Low Level Heuristics in a Hyperheuristic Framework, the 5th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP05), LNCS vol.3448/2005, Lausanne, Switzerland, 2005.  [PDF] [PS] [PPT]
  • [W] Hishammuddin Asmuni, Edmund Burke, Jonathan Garibaldi, Fuzzy Multiple Heuristic Ordering for Course Timetabling, the 5th United Kingdom Workshop on Computational Intelligence (UKCI05), London, UK, 2005.  [PDF] [PS] [PPT]
  • [R] Rong Qu, Edmund Burke, Analysing the High Level Heuristics within a Graph Based Hyper-heuristic, CS Technical Report No: NOTTCS-TR-2005-3, University of Nottingham, 2005.  [PDF] [PS]
  • [T] Masri Ayob, Optimisation of Surface Mount Device Placement Machine in Printed Circuit Board Assembly, PhD Thesis, School of Computer Science, University of Nottingham, 2005.  [PDF] [PS]
  • [T] Ruibin Bai, An Investigation of Novel Approaches for Optimising Retail Shelf Space Allocation, PhD Thesis, School of Computer Science, University of Nottingham, 2005.  [PDF] [PS]
  • [T] Limin Han, An Investigation of a Genetic Algorithm Based Hyper-Heuristic Applied to Scheduling Problems, PhD Thesis, School of Computer Science, University of Nottingham, 2005.  [PDF] [PS]
  • [T] Naimah Mohd Hussin, Tabu Search Based Hyper-Heuristic Approaches for Examination Timetabling, PhD Thesis, School of Computer Science, University of Nottingham, 2005.  [PDF] [PS]

[ YEAR: 2004 ]   {#}

  • [C] Graham Kendall, Mazlan Mohamad, Channel Assignment Optimisation Using a Hyper-heuristic, the IEEE Conference on Cybernetics and Intelligent Systems (IEEE CIS04), Singapore, 2004.  [PDF] [PS] [PPT]
  • [C] Graham Kendall, Mazlan Mohamad, Channel Assignment in Cellular Communication Using a Great Deluge Hyper-heuristic, the 12th IEEE International Conference on Network (IEEE ICON04), Singapore, 2004.  [PDF] [PS] [PPT]
  • [C] Peter Ross, Javier G. Marin-Blazquez, Emma Hart, Hyper-heuristics applied to Class and Exam Timetabling Problems, the IEEE Congress on Evolutionary Computation (IEEE CEC04), Portland/Oregon , USA, 2004.  [PDF] [PS] [PPT]
  • [C] Hishammuddin Asmuni, Edmund Burke, Jonathan Garibaldi, Barry McCollum, Fuzzy Multiple Heuristic Orderings for Examination Timetabling, the 5th International Conference on the Practice and Theory of Automated Timetabling (PATAT04), LNCS vol.3616/2005, Pittsburg/Pennsylvania, USA, 2004.  [PDF] [PS] [PPT]
  • [C] Prapa Rattadilok, Andy Gaw, Raymond Kwan, Distributed Choice Function Hyper-heuristics for Timetabling and Scheduling, the 5th International Conference on the Practice and Theory of Automated Timetabling (PATAT04), LNCS vol.3616/2005, Pittsburg/Pennsylvania, USA, 2004.  [PDF] [PS] [PPT]
  • [R] Prapa Rattadilok, Andy Gaw, Raymond Kwan, A Distributed Hyper-heuristic for Scheduling, CS Technical Report No: 2004.01, University of Leeds, 2004.  [PDF] [PS]

[ YEAR: 2003 ]   {#}

  • [J] Edmund Burke, Graham Kendall, Eric Soubeiga, A Tabu-Search Hyper-Heuristic for Timetabling and Rostering, Journal of Heuristics, 9(3), Springer, 2003.  [PDF] [PS]
  • [B] Edmund Burke, Emma Hart, Graham Kendall, Jim Newall, Peter Ross, Sonia Schulenburg, Hyper-Heuristics: An Emerging Direction in Modern Search Technology, Handbook of Meta-Heuristics, 2003.  [PDF] [PS] [INTRODUCTION]
  • [C] Peter Ross, Emma Hart, Javier G. Marin-Blazquez, Sonia Schulenburg, Learning a Procedure that can Solve Hard Bin-packing Problems: a New GA-based Approach to Hyperheuristics, the 5th Annual Conference on Genetic and Evolutionary Computation (GECCO03), LNCS vol.2724/2003, Chicago/Illinois, USA, 2003.  [PDF] [PS] [PPT]
  • [C] Edmund Burke, Dario Landa Silva, Eric Soubeiga, Hyperheuristic Approaches for Multiobjective Optimisation, the 5th Metaheuristics International Conference (MIC03), Kyoto, Japan, 2003.  [PDF] [PS] [PPT]
  • [C] Masri Ayob, Graham Kendall, A Monte Carlo Hyper-Heuristic To Optimise Component Placement Sequencing For Multi Head Placement Machine, the 4th International Conference on Intelligent Technologies (InTech03), Chiang Mai, Thailand, 2003.  [PDF] [PS] [PPT]
  • [C] Edmund Burke, Graham Kendall, Ross O'Brien, David Redrup, Eric Soubeiga, An Ant Algorithm Hyper-heuristic, the 5th Metaheuristics International Conference (MIC03), Kyoto, Japan, 2003.  [PDF] [PS] [PPT]
  • [C] Edmund Burke, Moshe Dror, Graham Kendall, Ross O'Brien, David Redrup, Eric Soubeiga, A Pheromone-based Look-Ahead Hyper-heuristic for Time-tabling Problems, the 1st Multidisciplinary International Scheduling Conference: Theory & Applications (MISTA03), Nottingham, UK, 2003.  [DOC] [PS] [PPT]
  • [T] Eric Soubeiga, Development and Application of Hyperheuristics to Personnel Scheduling, PhD Thesis, School of Computer Science, University of Nottingham, 2003.  [PDF] [PS]

[ YEAR: 2002 ]   {#}

  • [C] Peter Ross, Sonia Schulenburg, Javier G. Marin-Blazquez, Emma Hart, Hyper-heuristics: Learning To Combine Simple Heuristics In Bin-packing Problems, the 4th Annual Conference on Genetic and Evolutionary Computation (GECCO02), New York, USA, 2002.  [PDF] [PS] [PPT]
  • [C] Edmund Burke, Bart L. MacCarthy, Sanja Petrovic, Rong Qu, Knowledge Discovery in a Hyper-heuristic for Course Timetabling Using Case-Based Reasoning, the 4th International Conference on the Practice and Theory of Automated Timetabling (PATAT02), Gent, Belgium, 2002.  [PDF] [PS] [PPT]
  • [C] Peter Cowling, Graham Kendall, Eric Soubeiga, Hyperheuristics: A Tool for Rapid Prototyping in Scheduling and Optimisation, the 7th European Workshops on the Applications of Evolutionary Computation (EvoWorkshops02), LNCS vol.2279/2002, Kinsale, Ireland, 2002.  [PDF] [PS] [PPT]
  • [C] Peter Cowling, Graham Kendall, Eric Soubeiga, Hyperheuristics: A Robust Optimisation Method Applied to Nurse Scheduling, the 7th Conference on Parallel Problem Solving from Nature (PPSN02), Granada, Spain, 2002.  [PDF] [PS] [PPT]
  • [C] Peter Cowling, Graham Kendall, Limin Han, An Investigation of a Hyperheuristic Genetic Algorithm Applied to a Trainer Scheduling Problem, the IEEE Congress on Evolutionary Computation (IEEE CEC02), Honolulu/Hawaii, USA, 2002.  [PDF] [PS] [PPT]
  • [C] Sanja Petrovic, Rong Qu, Case-Based Reasoning as a Heuristic Selector in a Hyper-Heuristic for Course Timetabling Problems, the 6th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES02), Crema, Italy, 2002.  [PDF] [PS] [PPT]
  • [C] Peter Cowling, Graham Kendall, Limin Han, An Adaptive Length Chromosome Hyperheuristic Genetic Algorithm for a Trainer Scheduling Problem, the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL02), Orchid Country Club, Singapore, 2002.  [PDF] [PS] [PPT]
  • [T] Rong Qu, Case-Based Reasoning for Course Timetabling Problems, PhD Thesis, School of Computer Science, University of Nottingham, 2002.  [PDF] [PS]

[ YEAR: 2001 ]   {#}

  • [C] Peter Cowling, Graham Kendall, Eric Soubeiga, A Parameter-Free Hyperheuristic for Scheduling a Sales Summit, the 4th Metaheuristics International Conference (MIC01), Porto, Portugal, 2001.  [PDF] [PS] [PPT]

[ YEAR: 2000 ]   {#}

  • [C] Peter Cowling, Graham Kendall, Eric Soubeiga, A Hyperheuristic Approach to Scheduling a Sales Summit, the 3rd International Conference on the Practice and Theory of Automated Timetabling (PATAT00), LNCS vol.2079/2001, Constance, Germany, 2000.  [PDF] [PS] [PPT]
  • [C] Peter Cowling, Eric Soubeiga, Neighborhood Structures for Personnel Scheduling: A Summit Meeting Scheduling Problem, the 3rd International Conference on the Practice and Theory of Automated Timetabling (PATAT00), Constance, Germany, 2000.  [PDF] [PS] [PPT]

[ YEAR: 1999 ]   {#}

  • [C] Hugo Terashima-Marin, Peter Ross, Manuel Valenzuela-Rendon, Evolution of Constraint Satisfaction Strategies in Examination Timetabling, the 1st Annual Conference on Genetic and Evolutionary Computation (GECCO99), Orlando/Florida, USA, 1999.  [PDF] [PS] [PPT]