Ender Özcan
Ender Özcan
School of Computer Science, University of Nottingham
Email verificata su nottingham.ac.uk - Home page
Citata da
Citata da
Hyper-heuristics: A survey of the state of the art
EK Burke, M Gendreau, M Hyde, G Kendall, G Ochoa, E Özcan, R Qu
Journal of the Operational Research Society 64 (12), 1695-1724, 2013
A Classification of Hyper-heuristic Approaches
EK Burke, M Hyde, G Kendall, G Ochoa, E Ozcan, J Woodward
Handbook of Metaheuristics, International Series in Operations Research …, 2010
Particle swarm optimization: Surfing the waves
E Ozcan, CK Mohan
Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No …, 1999
A comprehensive analysis of hyper-heuristics
E Özcan, B Bilgin, EE Korkmaz
Intelligent data analysis 12 (1), 3-23, 2008
Analysis of a simple particle swarm optimization system
E Ozcan, CK Mohan
Intelligent Engineering Systems Through Artificial Neural Networks 8, 253-258, 1998
Exploring hyper-heuristic methodologies with genetic programming
EK Burke, MR Hyde, G Kendall, G Ochoa, E Ozcan, JR Woodward
Computational intelligence, 177-201, 2009
An experimental study on hyper-heuristics and exam timetabling
B Bilgin, E Özcan, EE Korkmaz
International Conference on the Practice and Theory of Automated Timetabling …, 2007
A Reinforcement Learning - Great-Deluge Hyper-heuristic for Examination Timetabling
E Özcan, M Mısır, G Ochoa, EK Burke
International Journal of Applied Metaheuristic Computing 1 (1), 39-59, 2010
Memetic algorithms for timetabling
A Alkan, E Ozcan
Evolutionary Computation, 2003. CEC'03. The 2003 Congress on 3, 1796-1802 Vol. 3, 2003
Examination timetabling using late acceptance hyper-heuristics
E Ozcan, Y Bykov, M Birben, EK Burke
2009 IEEE Congress on Evolutionary Computation, 997-1004, 2009
A multi-objective hyper-heuristic based on choice function
M Maashi, E Özcan, G Kendall
Expert Systems with Applications 41 (9), 4475-4493, 2014
Memetic algorithms for nurse rostering
E Özcan
International Symposium on Computer and Information Sciences, 482-492, 2005
Monte Carlo hyper-heuristics for examination timetabling
EK Burke, G Kendall, M Mısır, E Özcan
Annals of Operations Research 196, 73-90, 2012
A multi-agent based cooperative approach to scheduling and routing
S Martin, D Ouelhadj, P Beullens, E Ozcan, AA Juan, EK Burke
European Journal of Operational Research 254 (1), 169-178, 2016
Particle swarms for multimodal optimization
E Özcan, M Yılmaz
International Conference on Adaptive and Natural Computing Algorithms, 366-375, 2007
Hill climbers and mutational heuristics in hyperheuristics
E Özcan, B Bilgin, EE Korkmaz
Parallel Problem Solving from Nature-PPSN IX, 202-211, 2006
Partial shape matching using genetic algorithms
E Ozcan, CK Mohan
Pattern Recognition Letters 18 (10), 987-992, 1997
Combining Monte-Carlo and Hyper-heuristic methods for the Multi-mode Resource-constrained Multi-project Scheduling Problem
S Asta, D Karapetyan, A Kheiri, E Ozcan, AJ Parkes
Information Sciences 373, 476-498, 2016
A classification of hyper-heuristic approaches: Revisited
EK Burke, MR Hyde, G Kendall, G Ochoa, E Özcan, JR Woodward
Handbook of metaheuristics, 453-477, 2019
Handbook of metaheuristics
EK Burke, M Hyde, G Kendall, G Ochoa, E Ozcan, J Woodward
Hyper-heuristics: an emerging direction in modern search technology, 457-474, 2003
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