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Ender ÷zcan
Ender ÷zcan
Professor of Computer Science and Operational Research, University of Nottingham
Verified email at nottingham.ac.uk - Homepage
Title
Cited by
Cited by
Year
Hyper-heuristics: A survey of the state of the art
EK Burke, M Gendreau, M Hyde, G Kendall, G Ochoa, E ÷zcan, R Qu
Journal of the Operational Research Society 64 (12), 1695-1724, 2013
14232013
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
7472010
Particle swarm optimization: surfing the waves
E Ozcan, CK Mohan
Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No†…, 1999
5791999
A comprehensive analysis of hyper-heuristics
E ÷zcan, B Bilgin, EE Korkmaz
Intelligent data analysis 12 (1), 3-23, 2008
3562008
Exploring hyper-heuristic methodologies with genetic programming
EK Burke, MR Hyde, G Kendall, G Ochoa, E Ozcan, JR Woodward
Computational intelligence: Collaboration, fusion and emergence, 177-201, 2009
3272009
Analysis of a simple particle swarm optimization system
E Ozcan, CK Mohan
Intelligent Engineering Systems Through Artificial Neural Networks 8, 253-258, 1998
3261998
Recent advances in selection hyper-heuristics
JH Drake, A Kheiri, E ÷zcan, EK Burke
European Journal of Operational Research 285 (2), 405-428, 2020
2612020
A classification of hyper-heuristic approaches: revisited
EK Burke, MR Hyde, G Kendall, G Ochoa, E ÷zcan, JR Woodward
Handbook of metaheuristics, 453-477, 2019
1952019
An experimental study on hyper-heuristics and exam timetabling
B Bilgin, E ÷zcan, EE Korkmaz
International Conference on the Practice and Theory of Automated Timetabling†…, 2007
1932007
A Reinforcement Learning - Great-Deluge Hyper-heuristic for Examination Timetabling
E ÷zcan, M Mısır, G Ochoa, EK Burke
International Journal of Applied Metaheuristic Computing 1 (1), 39-59, 2010
1712010
Memetic algorithms for timetabling
A Alkan, E Ozcan
Evolutionary Computation, 2003. CEC'03. The 2003 Congress on 3, 1796-1802 Vol. 3, 2003
1212003
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
1192016
A multi-objective hyper-heuristic based on choice function
M Maashi, E ÷zcan, G Kendall
Expert Systems with Applications 41 (9), 4475-4493, 2014
1182014
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
1142016
A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method
M Deveci, E ÷zcan, R John, CF Covrig, D Pamucar
Journal of Environmental Management 270, 110916, 2020
1082020
Monte Carlo hyper-heuristics for examination timetabling
EK Burke, G Kendall, M Mısır, E ÷zcan
Annals of Operations Research 196, 73-90, 2012
1052012
Examination timetabling using late acceptance hyper-heuristics
E Ozcan, Y Bykov, M Birben, EK Burke
2009 IEEE Congress on Evolutionary Computation, 997-1004, 2009
1052009
Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS
M Deveci, E ÷zcan, R John, D Pamucar, H Karaman
Applied Soft Computing 109, 107532, 2021
1042021
Memetic algorithms for nurse rostering
E ÷zcan
International Symposium on Computer and Information Sciences, 482-492, 2005
992005
Hill climbers and mutational heuristics in hyperheuristics
E ÷zcan, B Bilgin, EE Korkmaz
International Conference on Parallel Problem Solving from Nature, 202-211, 2006
942006
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