Automated Scheduling Optimisation and Planning (ASAP) Research Group
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Ender Özcan

Assistant Professor in Operational Research and Computer Science, Faculty of Science

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Biography

Dr Ender Özcan is an Operational Research and Computer Science lecturer with the Automated Scheduling, Optimisation and Planning (ASAP) research group at the University of Nottingham. He received his PhD from the Department of Computer and Information Science at Syracuse University, USA in 1998. He worked as a lecturer in the Department of Computer Engineering at Yeditepe University, Istanbul, Turkey from 1998-2007. He established and led the ARTIficial Intelligence research group from 2002. He served as the Deputy Head of the Department from 2004-2007. Dr Özcan joined the ASAP group as a senior research fellow in 2008. He has been serving as an executive committee member for the LANCS initiative, which is one of the largest Science and Innovation Rewards given by EPSRC (Engineering and Physical Sciences Research Council, UK). He has been a member of the program committees in major international conferences and refereeing for reputable journals. He has been awarded grants as principal investigator and co-investigator/named researchers from The Scientific and Technological Research Council of Turkey, T.R. Prime Ministry State Planning Organisation and CONACyT. Dr Özcan has published many refereed papers. He has co-organised many workshops/streams on hyper-heuristics and metaheuristics. He has been a member of the organising committee of the ROADEF/EURO challenges since 2010. He served on the advisory board of the Cross-domain Heuristic Search Challenge (CHeSC 2011). He was a guest editor of the first special issue on hyper-heuristics for the Journal of Heuristics, 2010. He is an associate editor of the International Journal of Applied Metaheuristic Computing and Journal of Scheduling.

Research Summary

My research interests and activities lie at the interface of Computer Science and Operational Research: Intelligent decision support systems, search and optimisation (combinatorial optimisation,… read more

Selected Publications

Current Research

My research interests and activities lie at the interface of Computer Science and Operational Research: Intelligent decision support systems, search and optimisation (combinatorial optimisation, constraint optimisation, multi-modal optimisation and multi-objective optimisation) using heuristics, local search, hyper-heuristics, meta-heuristics (in particular memetic algorithms, particle swarm optimisation), hybrid approaches embedding data science techniques and their theoretical foundations.

Modelling of and applications to the complex real-world problems (scheduling, timetabling, cutting&packing, SAT, knapsack problems, TSP, VRP and more) that are at the intersection of computer science and operational research, including grouping (data clustering, graph colouring and bin packing) problems.

  • TÜRK, SEDA, ÖZCAN, ENDER and JOHN, ROBERT, 2017. Multi-objective optimisation in inventory planning with supplier selection Expert Systems with Applications. 78, 51-63
  • MUKLASON, AHMAD, PARKES, ANDREW J., OZCANA, ENDER, MCCOLLUM, BARRY and MCMULLAN, PAUL, 2017. Fairness in examination timetabling: Student preferences and extended formulations APPLIED SOFT COMPUTING. 55, 302-318
  • LI, WENWEN, OZCAN, ENDER and JOHN, ROBERT, 2017. Multi-objective evolutionary algorithms and hyper-heuristics for wind farm layout optimisation RENEWABLE ENERGY. 105, 473-482
  • JOHN DRAKE, ENDER OZCAN and EDMUND K BURKE, 2016. A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework using the Multidimensional Knapsack Problem Evolutionary Computation. 24(1), 113-141
  • KHEIRI, AHMED and ÖZCAN, ENDER, 2016. An iterated multi-stage selection hyper-heuristic European Journal of Operational Research. 250(1), 77-90
  • SORIA-ALCARAZ, JORGE A, ÖZCAN, ENDER, SWAN, JERRY, KENDALL, GRAHAM and CARPIO, MARTIN, 2016. Iterated local search using an add and delete hyper-heuristic for university course timetabling Applied Soft Computing. 40, 581-593
  • SIMON MARTIN, DJAMILA OUELHADJ, PATRICK BEULLENS, ENDER ÖZCAN, ANGEL A. JUAN and EDMUND K. BURKE, 2016. A multi-agent based cooperative approach to scheduling and routing European Journal of Operational Research. 254(1), 169-178
  • SHAHRIAR ASTA, DANIEL KARAPETYAN, AHMED KHEIRI, ENDER ÖZCAN and ANDREW J. PARKES, 2016. Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem Information Sciences. 373, 476 - 498
  • ENDER ÖZCAN, JOHN H. DRAKE, CEVRIYE ALTINTAŞ and SHAHRIAR ASTA, 2016. A Self-adaptive Multimeme Memetic Algorithm Co-evolving Utility Scores to Control Genetic Operators and Their Parameter Settings Applied Soft Computing. 49, 81–93
  • ASTA, SHAHRIAR, OZCAN, ENDER and PARKES, ANDREW J., 2016. CHAMP: Creating heuristics via many parameters for online bin packing EXPERT SYSTEMS WITH APPLICATIONS. 63, 208-221
  • ASTA, SHAHRIAR, OZCAN, ENDER and CURTOIS, TIM, 2016. A tensor based hyper-heuristic for nurse rostering KNOWLEDGE-BASED SYSTEMS. 98, 185-199
  • KHEIRI, AHMED, OEZCAN, ENDER and PARKES, ANDREW J., 2016. A stochastic local search algorithm with adaptive acceptance for high-school timetabling ANNALS OF OPERATIONS RESEARCH. 239(1), 135-151
  • SHAHRIAR ASTA and ENDER OZCAN, 2015. A Tensor-based Selection Hyper-heuristic for Cross-domain Heuristic Search Information Sciences. 299, 412–432
  • H MUJTABA, G KENDALL, R BAIG and E OZCAN, 2015. Detecting Change and Dealing with Uncertainty in Imperfect Evolutionary Environments Information Sciences. 302, 33-49
  • M. MAASHI, G. KENDALL and E. 'OZCAN, 2015. Choice Function based Hyper-heuristics for Multi-objective Optimization Applied Soft Computing. 28, 312-326
  • DRAKE, JOHN H, ÖZCAN, ENDER and BURKE, EDMUND K, 2015. Modified choice function heuristic selection for the multidimensional knapsack problem. In: Genetic and Evolutionary Computing Springer International Publishing. 225-234
  • TURK, SEDA, MILLER, SIMON, OZCAN, ENDER and JOHN, ROBERT, 2015. A simulated annealing approach to supplier selection aware inventory planning In: Evolutionary Computation (CEC), 2015 IEEE Congress on. 1799-1806
  • DRAKE, JOHN H, OZCAN, ENDER and BURKE, EDMUND K, 2015. A modified choice function hyper-heuristic controlling unary and binary operators In: Evolutionary Computation (CEC), 2015 IEEE Congress on. 3389-3396
  • ASTA, SHAHRIAR and OZCAN, ENDER, 2015. A tensor analysis improved genetic algorithm for online bin packing In: Proceedings of the 2015 on Genetic and Evolutionary Computation Conference. 799-806
  • ELHAG, ANAS and ÖZCAN, ENDER, 2015. A grouping hyper-heuristic framework: Application on graph colouring Expert Systems with Applications. 42(13), 5491-5507
  • DRAKE, JOHN H, OZCAN, ENDER and BURKE, EDMUND K, 2015. A comparison of crossover control mechanisms within single-point selection hyper-heuristics using HyFlex In: Evolutionary Computation (CEC), 2015 IEEE Congress on. 3397-3403
  • ARAÚJO, LUIZ JONATA P, ÖZCAN, ENDER, ATKIN, JASON AD, BAUMERS, MARTIN, TUCK, CHRIS and HAGUE, RICHARD, 2015. Toward Better Build Volume Packing In Additive Manufacturing: Classification Of Existing Problems And Benchmarks
  • BURKE, EDMUND K, DRAKE, JOHN H, MCCOLLUM, BARRY, ÖZCAN, ENDER and OTHERS, 2015. Comments on: An overview of curriculum-based course timetabling TOP: An Official Journal of the Spanish Society of Statistics and Operations Research. 23(2), 355-358
  • AHMED, LEENA N, ÖZCAN, ENDER and KHEIRI, AHMED, 2015. Solving high school timetabling problems worldwide using selection hyper-heuristics Expert Systems with Applications. 42(13), 5463-5471
  • DEVECI, MUHAMMET, DEMIREL, NIHAN ÇETIN, JOHN, ROBERT and ÖZCAN, ENDER, 2015. Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey Journal of Natural Gas Science and Engineering. 27, 692-705
  • MAASHI, MASHAEL, KENDALL, GRAHAM and ÖZCAN, ENDER, 2015. Choice function based hyper-heuristics for multi-objective optimization Applied Soft Computing. 28, 312-326
  • BURKE, EDMUND K, DRAKE, JOHN H, MCCOLLUM, BARRY, ÖZCAN, ENDER and OTHERS, 2015. Comments on: An overview of curriculum-based course timetabling TOP: An Official Journal of the Spanish Society of Statistics and Operations Research. 23(2), 355-358
  • SYARIZA ABDUL RAHMAN, ANDRZEJ BARGIELA, EDMUND K. BURKE, ENDER ÖZCAN, BARRY MCCOLLUM and PAUL MCMULLAN,, 2014. Adaptive linear combination of heuristic orderings in constructing examination timetables European Journal of Operational Research. 232(2), 287 - 297
  • MASHAEL MAASHI, ENDER ÖZCAN and GRAHAM KENDALL,, 2014. A multi-objective hyper-heuristic based on choice function Expert Systems with Applications. 41(9), 4475 - 4493
  • HONG, LIBIN, DRAKE, JOHN H. and ÖZCAN, ENDER, 2014. A Step Size Based Self-adaptive Mutation Operator for Evolutionary Programming In: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion. 1381-1388
  • BROWNLEE, ALEXANDER E.I., SWAN, JERRY, ÖZCAN, ENDER and PARKES, ANDREW J., 2014. Hyperion2: A Toolkit for Meta-, Hyper- Heuristic Research In: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion. 1133-1140
  • DULCE J. MAGANA-LOZANO, E. 'OZCAN and S. E. CONANT-PABLOS, 2014. Decomposition and Recomposition Strategies to Solve Timetabling Problems In: Proceedings of the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2014). 505-507
  • A. MUKLASON, A. J. PARKES, B. MCCOLLUM and E. 'OZCAN, 2014. Fairness in Examination Timetabling: Student Preferences and Extended Formulations In: Proceedings of the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2014). 512-515
  • C. ALTINTAS, S.ASTA, E. 'OZCAN and T. YIGIT, 2014. A self-generating memetic algorithm for examination timetabling In: Proceedings of the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2014). 434-437
  • S. ASTA and E. ÖZCAN, 2014. A Tensor-based Approach to Nurse Rostering In: Proceedings of the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2014). 442-445,
  • SWAN, JERRY, WOODWARD, JOHN, ÖZCAN, ENDER, KENDALL, GRAHAM and BURKE, EDMUND, 2014. Searching the Hyper-heuristic Design Space Cognitive Computation. 6(1), 66-73
  • AHMED KHEIRI and ENDER ÖZCAN, 2014. Constructing Constrained-Version of Magic Squares Using Selection Hyper-heuristics The Computer Journal. 57(3), 469-479
  • ERCAL, T., 'OZCAN, E. and ASTA, S., 2014. Soft Morphological Filter Optimization Using a Genetic Algorithm for Noise Elimination In: 14th UK Workshop on Computational Intelligence, UKCI 2014. 1-7
  • TURK, S., JOHN, R. I., 'OZCAN, E. and ASTA, S., 2014. Interval Type-2 Fuzzy Sets in Supplier Selection In: 14th UK Workshop on Computational Intelligence, UKCI 2014. 1-7
  • JACKSON, W. G., 'OZCAN, E. and JOHN, R. I., 2014. Fuzzy Adaptive Parameter Control of a Late Acceptance Hyper-heuristic In: 14th UK Workshop on Computational Intelligence, UKCI 2014. 1-8
  • YARIMCAM, AHMET, ASTA, SHAHRIAR, 'OZCAN, ENDER and PARKES, ANDREW J., 2014. Heuristic generation via parameter tuning for online bin packing In: Evolving and Autonomous Learning Systems (EALS), 2014 IEEE Symposium on. 102-108
  • ASTA, SHAHRIAR and 'OZCAN, ENDER, 2014. An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex In: Evolving and Autonomous Learning Systems (EALS), 2014 IEEE Symposium on. 65-72
  • ASTA, S., 'OZCAN, E. and SIEBERS, P.-O., 2014. An Investigation on Test Driven Discrete Event Simulation In: The Operational Research Society Simulation Workshop 2014. 1-11
  • DRAKE, JOHN H, HYDE, MATTHEW, IBRAHIM, KHALED and OZCAN, ENDER, 2014. A genetic programming hyper-heuristic for the multidimensional knapsack problem Kybernetes. 43(9/10), 1500-1511
  • ABDUL-RAHMAN, SYARIZA, BURKE, EDMUND K., BARGIELA, ANDRZEJ, MCCOLLUM, BARRY and 'OZCAN, ENDER, 2014. A constructive approach to examination timetabling based on adaptive decomposition and ordering Annals of Operations Research. 218(1), 3-21
  • ÖZCAN, E., KAI, Z. and DRAKE, J.H., 2013. Bidirectional best-fit heuristic considering compound placement for two dimensional orthogonal rectangular strip packing Expert Systems with Applications. 40(10), 4035–4043
  • MARTIN, S., OUELHADJ, D., SMET, P., VANDEN BERGHE, G. and ÖZCAN, E., 2013. Cooperative search for fair nurse rosters Expert Systems with Applications. 40(16), 6674-6683
  • ORTIZ-BAYLISS, J.C., 'OZCAN, E., PARKES, A.J. and TERASHIMA-MARIN, H., 2013. A genetic programming hyper-heuristic: Turning features into heuristics for constraint satisfaction In: 13th UK Workshop on Computational Intelligence, UKCI 2013. 183-190
  • OZCAN, E., ASTA, S. and ALTINTAS, C., 2013. Memetic algorithms for Cross-domain Heuristic Search In: 13th UK Workshop on Computational Intelligence, UKCI 2013. 175-182
  • OZCAN, E., MISIR, M. and KHEIRI, A., 2013. Group decision making hyper-heuristics for function optimisation In: 13th UK Workshop on Computational Intelligence, UKCI 2013. 327-333
  • ELHAG, A. and 'OZCAN, E., 2013. A grouping hyper-heuristic framework based on linear linkage encoding for graph coloring In: 13th UK Workshop on Computational Intelligence, UKCI 2013. 321-326
  • JACKSON, W.G., 'OZCAN, E. and DRAKE, J.H., 2013. Late acceptance-based selection hyper-heuristics for cross-domain heuristic search In: 13th UK Workshop on Computational Intelligence, UKCI 2013. 228-235
  • ASTA, S., 'OZCAN, E. and PARKES, A.J., 2013. Batched mode hyper-heuristics. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7997. 404-409
  • KIRAZ, B., ETANER-UYAR, A.S. and 'OZCAN, E., 2013. Selection hyper-heuristics in dynamic environments Journal of the Operational Research Society. 64(12), 1753-1769
  • KALENDER, M., KHEIRI, A., 'OZCAN, E. and BURKE, E.K., 2013. A greedy gradient-simulated annealing selection hyper-heuristic Soft Computing. 17(12), 2279-2292
  • ULUDAG, G., KIRAZ, B., ETANER-UYAR, S. and 'OZCAN, E., 2013. A hybrid multi-population framework for dynamic environments combining online and offline learning Soft Computing. 17(12), 2327-2348
  • BURKE, E.K., GENDREAU, M., HYDE, M., KENDALL, G., OCHOA, G., 'OZCAN, E. and QU, R., 2013. Hyper-heuristics: A survey of the state of the art Journal of the Operational Research Society. 64(12), 1695-1724
  • SWAN, J., DRAKE, J., 'OZCAN, E., GOULDING, J. and WOODWARD, J., 2013. A comparison of acceptance criteria for the daily car-pooling problem. In: Computer and Information Sciences III - 27th International Symposium on Computer and Information Sciences, ISCIS 2012 477-483
  • ASTA, S., 'OZCAN, E. and PARKES, A.J., 2013. Dimension reduction in the search for online bin packing policies. In: GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion 65-66
  • ORTIZ-BAYLISS, J.C., TERASHIMA-MARIN, H., 'OZCAN, E., PARKES, A.J. and CONANT-PABLOS, S.E., 2013. Exploring heuristic interactions in constraint satisfaction problems: A closer look at the hyper-heuristic space In: Proceddings of the IEEE Congress on Evolutionary Computation, CEC 2013. 3307-3314
  • ETANER-UYAR, S., 'OZCAN, E. and URQUHART, N., 2013. Preface. In: Studies in Computational Intelligence 505.
  • LEHRE, P.K. and 'OZCAN, E., 2013. A runtime analysis of simple hyper-heuristics: To mix or not to mix operators In: FOGA 2013 - Proceedings of the 12th ACM Workshop on Foundations of Genetic Algorithms. 97-104
  • KIRAZ, B., ETANER-UYAR, A.S. and 'OZCAN, E., 2013. An ant-based selection hyper-heuristic for dynamic environments. In: 7835. 626-635
  • KHEIRI, A. and 'OZCAN, E., 2013. A hyper-heuristic with a round robin neighbourhood selection. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7832. 1-12
  • ASTA, S., 'OZCAN, E., PARKES, A.J. and ETANER-UYAR, A.S., 2013. Generalizing hyper-heuristics via apprenticeship learning. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7832. 169-178
  • HONG, L., WOODWARD, J., LI, J. and 'OZCAN, E., 2013. Automated design of probability distributions as mutation operators for evolutionary programming using genetic programming. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7831. 85-96
  • DRAKE, J.H., KILILIS, N. and 'OZCAN, E., 2013. Generation of VNS components with grammatical evolution for vehicle routing. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7831. 25-36
  • 2013. Automated Scheduling and Planning: From Theory to Practice Springer.
  • ÖZCAN, E., PARKES, A.J. and ALKAN, A., 2012. The interleaved constructive memetic algorithm and its application to timetabling Computers & Operations Research. 39(10), 2310–2322
  • ULUDAG, G., KIRAZ, B., ETANER UYAR, A.S. and 'OZCAN, E., 2012. Heuristic selection in a multi-phase hybrid approach for dynamic environments In: 12th UK Workshop on Computational Intelligence, UKCI 2012.
  • K'OLE, M., SIMA ETANER-UYAR, A., KIRAZ, B. and 'OZCAN, E., 2012. Heuristics for car setup optimisation in TORCS In: 12th UK Workshop on Computational Intelligence, UKCI 2012.
  • KALENDER, M., KHEIRI, A., 'OZCAN, E. and BURKE, E.K., 2012. A greedy gradient-simulated annealing hyper-heuristic for a curriculum-based course timetabling problem In: 12th UK Workshop on Computational Intelligence, UKCI 2012.
  • ULUDAG, G., KIRAZ, B., ETANER-UYAR, A.S. and 'OZCAN, E., 2012. A framework to hybridize PBIL and a hyper-heuristic for dynamic environments 7492(PART 2), 358-367
  • OZCAN, E. and KHEIRI, A., 2012. A hyper-heuristic based on random gradient, greedy and dominance In: Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences, ISCIS 2011. 557-563
  • DRAKE, J.H., 'OZCAN, E. and BURKE, E.K., 2012. An improved choice function heuristic selection for cross domain heuristic search. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7492. 307-316
  • ORTIZ-BAYLISS, J.C., TERASHIMA-MARÍN, H., CONANT-PABLOS, S.E., 'OZCAN, E. and PARKES, A.J., 2012. Improving the performance of vector hyper-heuristics through local search In: GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation. 1269-1276
  • PARKES, A.J., 'OZCAN, E. and HYDE, M.R., 2012. Matrix analysis of genetic programming mutation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7244. 158-169
  • SWAN, J., ÖZCAN, E. and KENDALL, G., 2011. Hyperion-a recursive hyper-heuristic framework In: Learning and Intelligent Optimization, 5th International Conference, LION.
  • ORTIZ-BAYLISS, J.C., TERASHIMA-MARÍN, H., ÖZCAN, E. and PARKES, A.J., 2011. On the idea of evolving decision matrix hyper-heuristics for solving constraint satisfaction problems In: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation. 255-256
  • KIRAZ, B., UYAR, A. and ÖZCAN, E., 2011. An investigation of selection hyper-heuristics in dynamic environments In: Applications of Evolutionary Computation. 314-323
  • ORTIZ-BAYLISS, JOSÉCARLOS, TERASHIMA-MARÍN, HUGO, ÖZCAN, ENDER, PARKES, ANDREWJ. and CONANT-PABLOS, SANTIAGOENRIQUE, 2011. Variable and Value Ordering Decision Matrix Hyper-heuristics: A Local Improvement Approach. In: BATYRSHIN, ILDAR and SIDOROV, GRIGORI, eds., Advances in Artificial Intelligence 7094. Springer Berlin Heidelberg. 125-136
  • ÖZCAN, E. and PARKES, A.J., 2011. Policy matrix evolution for generation of heuristics In: GECCO '11: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation. 2011-2018
  • BURKE, E.K., KENDALL, G., MISIR, M. and ÖZCAN, E., 2010. Monte Carlo hyper-heuristics for examination timetabling Annals of Operations Research. 196(1), 73-90
  • ÖZCAN,E., MISIR , M., OCHOA, G. and BURKE, E. K., 2010. A Reinforcement Learning - Great-Deluge Hyper-heuristic for Examination Timetabling International Journal of Applied Metaheuristic Computing. 1(1), 39-59
  • GIBBS, J., KENDALL , G. and ÖZCAN, E., 2010. Scheduling English Football Fixtures over the Holiday Period Using Hyper-heuristics. In: Lecture Notes in Computer Science: 11th International Conference on Parallel Problem Solving From Nature 6238. 496-505
  • OCHOA, G and OZCAN, E, 2010. Special Issue On Hyper-Heuristics In Search And Optimization Journal Of Heuristics. 16(6), 745-748
  • BURKE, E.K., HYDE, M., KENDALL, G., OCHOA, G., ÖZCAN, E. and WOODWARD, J.R., 2010. A classification of hyper-heuristic approaches Handbook of Metaheuristics. 449-468
  • ÖZCAN, E., MISIR, M., OCHOA, G. and BURKE, E.K., 2010. A reinforcement learning-greatdeluge hyper-heuristic for examination timetabling International Journal of Applied Metaheuristic Computing. 1(1), 39-59
  • ORTIZ-BAYLISS, J.C., OZCAN, E., PARKES, A.J. and TERASHIMA-MARÍN, H., 2010. Mapping the performance of heuristics for constraint satisfaction In: Evolutionary Computation (CEC), 2010 IEEE Congress on. 1-8
  • ÖZCAN, E. and BAŞARAN, C., 2009. A case study of memetic algorithms for constraint optimization Soft Computing. 13(8-9), 871-882
  • ÖZCAN, E., BYKOV, Y, BIRBEN, M. and BURKE, E. K., 2009. Examination Timetabling Using Late Acceptance Hyper-heuristics In: IEEE Congress on Evolutionary Computation (CEC 2009). 997-1004
  • AŞIK, O.B. and ÖZCAN, E., 2009. Bidirectional best-fit heuristic for orthogonal rectangular strip packing Annals of Operations Research. 172(1), 405-427
  • BURKE, E.K., HYDE, M.R., KENDALL, G., OCHOA, G., OZCAN, E. and WOODWARD, J.R., 2009. Exploring hyper-heuristic methodologies with genetic programming. In: Computational Intelligence Springer. 177-201
  • OZCAN, E., UYAR, S.E. and BURKE, E., 2009. A greedy hyper-heuristic in dynamic environments In: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers. 2201-2204
  • OUELHADJ, D., PETROVIC, S. and OZCAN, E., 2009. A multi-level search framework for asynchronous cooperation of multiple hyper-heuristics In: Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers. 2193-2196
  • ÖZCAN, E., BILGIN, B. and KORKMAZ, E.E., 2008. A comprehensive analysis of hyper-heuristics Intelligent Data Analysis. 12(1), 3-23
  • BURKE, E. K., KENDALL, G., MISIR, M. and ÖZCAN, E., 2008. A Study of Simulated Annealing Hyperheuristics In: 7th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2008). 1-4
  • BURKE, E. K., MISIR, M., OCHOA, G. and ÖZCAN, E., 2008. Learning Heuristic Selection in Hyperheuristics for Examination Timetabling In: 7th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2008). 1-4
  • ÖZCAN, E. and ERÇAL, T., 2008. A genetic algorithm for generating improvised music In: Artificial Evolution. 266-277
  • ÜLKER, Ö., KORKMAZ, E. and ÖZCAN, E., 2008. A grouping genetic algorithm using linear linkage encoding for bin packing In: Parallel Problem Solving from Nature-PPSN X. 1140-1149
  • OZCAN, E and ONBASIOGLU, E, 2007. Memetic Algorithms For Parallel Code Optimization International Journal Of Parallel Programming. 35(1), 33-61
  • BILGIN, B., ÖZCAN, E. and KORKMAZ, E., 2007. An experimental study on hyper-heuristics and exam timetabling Practice and Theory of Automated Timetabling VI. 394-412
  • ERSOY, E., ÖZCAN, E. and UYAR, CS., 2007. Memetic algorithms and hyperhill-climbers MISTA. 7, 159-166
  • ÖZCAN, E. and ALKAN, A., 2007. A memetic algorithm for solving a timetabling problem: An incremental strategy In: Proc. of the 3rd multidisciplinary int. conf. on scheduling: theory and applications. 394-401
  • DIBEKLIOGLU, H., SEZGIN, T.M. and OZCAN, E., 2007. A recognizer for free-hand graph drawings In: Pen-Based Learning Technologies, 2007. PLT 2007. First International Workshop on. 1-3
  • OZCAN, E, BILGIN, B and KORKMAZ, EE, 2006. Hill Climbers And Mutational Heuristics In Hyperheuristics
  • ÖZCAN, E., BILGIN, B. and KORKMAZ, E., 2006. Hill climbers and mutational heuristics in hyperheuristics Parallel Problem Solving from Nature-PPSN IX. 202-211
  • ÖZCAN, E., 2006. Memes, self-generation and nurse rostering In: Proceedings of the 6th international conference on Practice and theory of automated timetabling VI. 85-104
  • OZCAN, E, 2005. Memetic Algorithms For Nurse Rostering
  • ÖZCAN, E., 2005. Memetic algorithms for nurse rostering Computer and Information Sciences-ISCIS 2005. 482-492
  • ÖZCAN, E., 2005. Towards an XML-based standard for timetabling problems: TTML Multidisciplinary Scheduling: Theory and Applications. 163-185
  • OZCAN, E. and ERSOY, E., 2005. Final exam scheduler-FES In: Evolutionary Computation, 2005. The 2005 IEEE Congress on. 1356-1363
  • ÖZCAN, E., CSEKER, CS.E. and KARADENİZ, Z.I., 2004. Generating Java Class Skeleton Using a Natural Language Interface In: NLUCS 2004. 126
  • OZCAN, E. and ONBASIOGLU, E., 2004. Genetic algorithms for parallel code optimization In: Evolutionary Computation, 2004. CEC2004. Congress on. 1375-1381
  • OZCAN, E. and ERENTURK, M., 2004. A brief review of memetic algorithms for solving Euclidean 2D traveling salesrep problem In: Proc. of the 13th Turkish Symposium on Artificial Intelligence and Neural Networks. 99-108
  • OZCAN, E. and HULAGU, B., 2004. A simple intelligent agent for playing abalone game: Abla In: Proceedings of the 13th Turkish Symposium on Artificial Intelligence and Neural Networks. 281-290,
  • ALKAN, A. and OZCAN, E., 2003. Memetic algorithms for timetabling In: Evolutionary Computation, 2003. CEC'03. The 2003 Congress on. 1796-1802
  • OZCAN, E. and ALKAN, A., 2002. Timetabling using a steady state genetic algorithm In: The 4th international conference on the Practice And Theory of Automated Timetabling.
  • OZCAN, E. and MOHAN, C.K., 1999. Particle swarm optimization: surfing the waves In: Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on.
  • OZCAN, E. and MOHAN, C.K., 1998. Analysis of a simple particle swarm optimization system In: Intelligent Engineering Systems Through Artificial Neural Networks. 253-258
  • OZCAN, E. and MOHAN, C., 1998. Steady state memetic algorithm for partial shape matching In: Evolutionary Programming VII. 527-536
  • OZCAN, E. and MOHAN, C.K., 1997. Partial shape matching using genetic algorithms Pattern Recognition Letters. 18(10), 987-992
  • OZCAN, E. and MOHAN, C.K., 1996. Shape recognition using genetic algorithms In: Evolutionary Computation, 1996., Proceedings of IEEE International Conference on. 411-416

ASAP Research Group

The University of Nottingham
School of Computer Science
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB


telephone: +44 (0) 115 8466543
email: asapgroup@nottingham.ac.uk