海角黑料

Computational Optimisation and Learning (COL) Lab
 

Image of Ender 脰锄肠补苍

Ender 脰锄肠补苍

Professor of Computer Science and Operational Research, Faculty of Science

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Biography

Ender 脰锄肠补苍 is a Professor of Computer Science and Operational Research with the Computational Optimisation and Learning (COL) Lab in the School of Computer Science at the 海角黑料, UK (UoN). He received his PhD from the Department of Computer and Information Science at Syracuse University, NY, USA in 1998. He worked as a lecturer in the Department of Computer Engineering at Yeditepe University, Istanbul, Turkiye 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. Prof 脰锄肠补苍 was appointed as a senior research fellow in 2008 to the EPSRC funded LANCS initiative, one of the largest Science and Innovation Rewards given by EPSRC (Engineering and Physical Sciences Research Council, UK). He has been an academic at the 海角黑料 since then. He is currently Director of the Faculty of Science Doctoral Training Centre in Artificial Intelligence.

Prof 脰锄肠补苍 is an internationally-leading scientist in computational optimisation for intelligent decision support, underpinned by hyper-heuristics/metaheuristics combined with data science, tackling challenging real-world problems. His pioneering work at the interface of Computer Science, Artificial Intelligence and Operational Research has been extensively exploited and extended by other researchers, resulting in high number of citations, plenaries/keynotes at conferences, invited talks/guest lectures and tutorials. Currently, he is ranked within the World's top 2% scientists in Artificial Intelligence based on a recent study by Elsevier BV and Stanford University. Prof 脰锄肠补苍 has over 150 refereed publications at reputable venues.

He served as an Executive Committee member for the LANCS initiative. He was the Deputy Director of the EPSRC's National Taught Course Centre in Operational Research (NATCOR). He is a Senior Member of IEEE, an elected member of the EPSRC, and College Research Foundation - Flanders (FWO) Peer Review College. Prof 脰锄肠补苍 contributed and has been contributing to the funded projects worth over 拢14m in total to date as principal investigator and co-investigator/named researchers, supported by various funding bodies, including the EPSRC, European Commission, The Royal Society, TSB, Innovate UK and TUBITAK. Prof 脰锄肠补苍 is a co-founder and co-chair of the EURO Working Group on Data Science Meets Optimisation. He is Associate Editor of the Journal of Scheduling and International Journal of Applied Metaheuristic Computing, and on the Editorial (Advisory) Board of the Engineering Applications of Artificial Intelligence (EAAI) Journal and International Journal of Intelligent Computing and Cybernetics. He is Steering Committee member and Executive Officer of the International Conference Series on the Practice and Theory of Automated Timetabling (PATAT).

Expertise Summary

My expertise lies at the interface of Computer Science, Artificial Intelligence (AI) and Operational Research, with a focus on intelligent decision support systems embedding data science, mainly machine learning and heuristic,hyper-heuristic and metaheuristic optimisation techniques applied to real-world optimisation problems.

Keywords: artificial intelligence, optimisation, intelligent decision support, heuristic, metaheuristic, hyper-heuristic, evolutionary algorithm, adaptive approaches, timetabling, cutting and packing

Teaching Summary

I have been teaching informed by my research and scholarly activities exploiting my industrial links, and leading teaching innovation through the development and delivery of the undergraduate… read more

Research Summary

My research interests and activities lie at the interface of artificial intelligence, computer science, and operational research: Intelligent decision support systems, search and optimisation,… read more

Selected Publications

  • SONG, H., DENG, B., POUND, M., 脰ZCAN, E. and TRIGUERO, I., 2022. Information Fusion. 81, 187-202
  • JERRY SWAN, STEVEN ADRIAENSEN, ALEXANDER E.I. BROWNLEE, KEVIN HAMMOND, COLIN G. JOHNSON, AHMED KHEIRI, FAUSTYNA KRAWIEC, J.J. MERELO, LEANDRO L. MINKU, ENDER 脰ZCAN, GISELE L. PAPPA, PABLO GARC脥A-S脕NCHEZ, KENNETH S脰RENSEN, STEFAN VO脽, MARKUS WAGNER and DAVID R. WHITE, 2022. European Journal of Operational Research. 297(2), 393-406
  • RAMAMOORTHY, V.T., 脰ZCAN, E., PARKES, A.J., SREEKUMAR, A., JAOUEN, L. and B脡COT, F.-X., 2021. Journal of the Acoustical Society of America. 150(4), 3164-3175
  • JOHN H. DRAKE, AHMED KHEIRI, ENDER OZCAN and EDMUND K. BURKE, 2020. European Journal of Operational Research. 285(2), 405-428

I have been teaching informed by my research and scholarly activities exploiting my industrial links, and leading teaching innovation through the development and delivery of the undergraduate courses, specifically:

  • Artificial Intelligence Methods that trails cutting-edge optimisation, namely metaheuristic and hyper-heuristic techniques into the Computer Science curriculum to provide students with an invaluable background and set of skills building on our strengths in this AI field within the School, and
  • Level 3&4 Projects (each being a key component of the degree) that apply an innovative assessment framework and student engagement activities for enhanced student experience driven by continual student feedback.

Current Research

My research interests and activities lie at the interface of artificial intelligence, computer science, and operational research: Intelligent decision support systems, search and optimisation, including combinatorial optimisation, constraint optimisation, multi-modal optimisation and multi-objective optimisation using heuristics, local search, hyper-heuristics, metaheuristics, 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, including scheduling, timetabling, cutting&packing, SAT, knapsack problems, TSP, VRP and more, that are at the boundary of artificial intelligence, computer science and operational research, including grouping problems, such as, data clustering, graph colouring and bin packing.

  • SONG, H., DENG, B., POUND, M., 脰ZCAN, E. and TRIGUERO, I., 2022. Information Fusion. 81, 187-202
  • DEVECI, M., 脰NER, S.C., CIFTCI, M.E., 脰ZCAN, E. and PAMUCAR, D., 2022. Applied Soft Computing. 114, 108076
  • JERRY SWAN, STEVEN ADRIAENSEN, ALEXANDER E.I. BROWNLEE, KEVIN HAMMOND, COLIN G. JOHNSON, AHMED KHEIRI, FAUSTYNA KRAWIEC, J.J. MERELO, LEANDRO L. MINKU, ENDER 脰ZCAN, GISELE L. PAPPA, PABLO GARC脥A-S脕NCHEZ, KENNETH S脰RENSEN, STEFAN VO脽, MARKUS WAGNER and DAVID R. WHITE, 2022. European Journal of Operational Research. 297(2), 393-406
  • DELIKTA艦, D., 脰ZCAN, E., USTUN, O. and TORKUL, O., 2021. Applied Soft Computing. 113, 107890
  • RAMAMOORTHY, V.T., 脰ZCAN, E., PARKES, A.J., SREEKUMAR, A., JAOUEN, L. and B脡COT, F.-X., 2021. Journal of the Acoustical Society of America. 150(4), 3164-3175
  • CARVALHO, V.R., 脰ZCAN, E. and SICHMAN, J.S., 2021. Applied Sciences (Switzerland). 11(19), 9153
  • DEVECI, M., 脰ZCAN, E., JOHN, R., PAMUCAR, D. and KARAMAN, H., 2021. Applied Soft Computing. 109, 107532
  • 脰ZCAN, E., BURKE, E.K., DI GASPERO, L., MCCOLLUM, B. and MUSLIU, N., 2021. Annals of Operations Research. 302(2), 339-340
  • SONG, H., TORRES TORRES, M., 脰ZCAN, E. and TRIGUERO, I., 2021. Neurocomputing. 442, 200-208
  • T脺RK, S., DEVECI, M., 脰ZCAN, E., CANITEZ, F. and JOHN, R., 2021. Information Sciences. 547, 641-666
  • SWAN, J., ADRIAENSEN, S., BROWNLEE, A.E.I., HAMMOND, K., JOHNSON, C.G., KHEIRI, A., KRAWIEC, F., MERELO, J.J., MINKU, L.L., 脰ZCAN, E., PAPPA, G.L., GARC脥A-S脕NCHEZ, P., S脰RENSEN, K., VO脽, S., WAGNER, M. and WHITE, D.R., 2021. European Journal of Operational Research.
  • T脺RK, S., 脰ZCAN, E. and JOHN, R., 2021. Studies in Fuzziness and Soft Computing. 403, 97-111
  • JOHN H. DRAKE, AHMED KHEIRI, ENDER OZCAN and EDMUND K. BURKE, 2020. European Journal of Operational Research. 285(2), 405-428
  • TAYMAZ RAHKAR FARSHI, JOHN H. DRAKE and ENDER OZCAN, 2020. Expert Systems with Applications. 149, 113233
  • DEVECI, M., 脰ZCAN, E., JOHN, R., COVRIG, C.-F. and PAMUCAR, D., 2020. Journal of Environmental Management. 270, 110916
  • SANTIAGO J脷NIOR, V.A.D., 脰ZCAN, E. and CARVALHO, V.R.D., 2020. Applied Soft Computing Journal. 97, 106760
  • ARA脷JO, L.J.P., PANESAR, A., 脰ZCAN, E., ATKIN, J., BAUMERS, M. and ASHCROFT, I., 2020. International Journal of Production Research. 58(22), 6917-6933
  • KHEIRI, A., AHMED, L., BOYACI, B., GROMICHO, J., MUMFORD, C., 脰ZCAN, E. and DIRIKO脟, A.S., 2020. Networks. 76(2), 294-319
  • ARA脷JO, L.J.P., PANESAR, A., 脰ZCAN, E., ATKIN, J., BAUMERS, M. and ASHCROFT, I., 2019. An experimental analysis of deepest bottom-left-fill packing methods for additive manufacturing International Journal of Production Research.
  • ARA脷JO, L.J.P., 脰ZCAN, E., ATKIN, J.A.D. and BAUMERS, M., 2019. Analysis of irregular three-dimensional packing problems in additive manufacturing: a new taxonomy and dataset International Journal of Production Research. 57(18), 5920-5934
  • HEDA SONG, ISAAC TRIGUERO and ENDER OZCAN, 2019. Progress in Artificial Intelligence. 8(2), 143-165
  • LI, WENWEN, 脰ZCAN, ENDER and JOHN, ROBERT, 2019. IEEE Transactions on Evolutionary Computation. 23(1), 59-73
  • KHAJAVI, S.H., BAUMERS, M., HOLMSTR脰M, J., 脰ZCAN, E., ATKIN, J., JACKSON, W. and LI, W., 2018. To kit or not to kit: Analysing the value of model-based kitting for additive manufacturing Computers in Industry. 98, 100-117
  • WILSON, DENNIS, RODRIGUES, SILVIO, SEGURA, CARLOS, LOSHCHILOV, ILYA, HUTTER, FRANK, LOPEZ BUENFIL, GUILLERMO, KHEIRI, AHMED, KEEDWELL, ED, OCAMPO-PINEDA, MARIO, OZCAN, ENDER, VALDEZ PENA, SERGIO IVVAN, GOLDMAN, BRIAN, BOTELLO RIONDA, SALVADOR, HERNANDEZ-AGUIRRE, ARTURO, VEERAMACHANENI, KALYAN and CUSSAT-BLANC, SYLVAIN, 2018. Renewable Energy. 126, 681-691
  • HONG, LIBIN, DRAKE, JOHN H., WOODWARD, JOHN R. and OZCAN, ENDER, 2018. Applied Soft Computing. 62, 162-175
  • WARREN G. JACKSON, ENDER 脙聳ZCAN and ROBERT I. JOHN, 2018. Expert Systems with Applications. 109, 131-151
  • T脺RK, SEDA, 脰ZCAN, ENDER and JOHN, ROBERT, 2017. Expert Systems with Applications. 78, 51-63
  • MUKLASON, AHMAD, PARKES, ANDREW J., OZCANA, ENDER, MCCOLLUM, BARRY and MCMULLAN, PAUL, 2017. APPLIED SOFT COMPUTING. 55, 302-318
  • LI, WENWEN, OZCAN, ENDER and JOHN, ROBERT, 2017. RENEWABLE ENERGY. 105, 473-482
  • NELISHIA PILLAY and ENDER OZCAN, 2017. Annals of Operations Research. 275(1), 181-208
  • JOHN DRAKE, ENDER OZCAN and EDMUND K BURKE, 2016. Evolutionary Computation. 24(1), 113-141
  • KHEIRI, AHMED and 脰ZCAN, ENDER, 2016. European Journal of Operational Research. 250(1), 77-90
  • SORIA-ALCARAZ, JORGE A, 脰ZCAN, ENDER, SWAN, JERRY, KENDALL, GRAHAM and CARPIO, MARTIN, 2016. Applied Soft Computing. 40, 581-593
  • SIMON MARTIN, DJAMILA OUELHADJ, PATRICK BEULLENS, ENDER 脰ZCAN, ANGEL A. JUAN and EDMUND K. BURKE, 2016. European Journal of Operational Research. 254(1), 169-178
  • SHAHRIAR ASTA, DANIEL KARAPETYAN, AHMED KHEIRI, ENDER 脰ZCAN and ANDREW J. PARKES, 2016. Information Sciences. 373, 476 - 498
  • ENDER 脰ZCAN, JOHN H. DRAKE, CEVRIYE ALTINTA艦 and SHAHRIAR ASTA, 2016. Applied Soft Computing. 49, 81鈥�93
  • ASTA, SHAHRIAR, OZCAN, ENDER and PARKES, ANDREW J., 2016. EXPERT SYSTEMS WITH APPLICATIONS. 63, 208-221
  • ASTA, SHAHRIAR, OZCAN, ENDER and CURTOIS, TIM, 2016. KNOWLEDGE-BASED SYSTEMS. 98, 185-199
  • KHEIRI, AHMED, OEZCAN, ENDER and PARKES, ANDREW J., 2016. ANNALS OF OPERATIONS RESEARCH. 239(1), 135-151
  • SHAHRIAR ASTA and ENDER OZCAN, 2015. Information Sciences. 299, 412鈥�432
  • H MUJTABA, G KENDALL, R BAIG and E OZCAN, 2015. Information Sciences. 302, 33-49
  • M. MAASHI, G. KENDALL and E. 'OZCAN, 2015. Applied Soft Computing. 28, 312-326
  • DRAKE, JOHN H, 脰ZCAN, 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 脰ZCAN, 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
  • ARA脷JO, LUIZ JONATA P, 脰ZCAN, 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, 脰ZCAN, 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, 脰ZCAN, 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 脟ETIN, JOHN, ROBERT and 脰ZCAN, 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 脰ZCAN, 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, 脰ZCAN, 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 脰ZCAN, BARRY MCCOLLUM and PAUL MCMULLAN,, 2014. European Journal of Operational Research. 232(2), 287 - 297
  • MASHAEL MAASHI, ENDER 脰ZCAN and GRAHAM KENDALL,, 2014. Expert Systems with Applications. 41(9), 4475 - 4493
  • HONG, LIBIN, DRAKE, JOHN H. and 脰ZCAN, ENDER, 2014. In: Proceedings of the 2014 Conference Companion on Genetic and Evolutionary Computation Companion. 1381-1388
  • BROWNLEE, ALEXANDER E.I., SWAN, JERRY, 脰ZCAN, ENDER and PARKES, ANDREW J., 2014. 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. 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. 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. In: Proceedings of the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2014). 434-437
  • S. ASTA and E. 脰ZCAN, 2014. In: Proceedings of the 10th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2014). 442-445,
  • SWAN, JERRY, WOODWARD, JOHN, 脰ZCAN, ENDER, KENDALL, GRAHAM and BURKE, EDMUND, 2014. Cognitive Computation. 6(1), 66-73
  • AHMED KHEIRI and ENDER 脰ZCAN, 2014. 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. In: Evolving and Autonomous Learning Systems (EALS), 2014 IEEE Symposium on. 102-108
  • ASTA, SHAHRIAR and 'OZCAN, ENDER, 2014. 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. Kybernetes. 43(9/10), 1500-1511
  • ABDUL-RAHMAN, SYARIZA, BURKE, EDMUND K., BARGIELA, ANDRZEJ, MCCOLLUM, BARRY and 'OZCAN, ENDER, 2014. Annals of Operations Research. 218(1), 3-21
  • 脰ZCAN, E., KAI, Z. and DRAKE, J.H., 2013. Expert Systems with Applications. 40(10), 4035鈥�4043
  • MARTIN, S., OUELHADJ, D., SMET, P., VANDEN BERGHE, G. and 脰ZCAN, E., 2013. 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. 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. 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.
  • 脰ZCAN, E., PARKES, A.J. and ALKAN, A., 2012. Computers & Operations Research. 39(10), 2310鈥�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-MAR脥N, 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., 脰ZCAN, 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-MAR脥N, H., 脰ZCAN, 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 脰ZCAN, E., 2011. An investigation of selection hyper-heuristics in dynamic environments In: Applications of Evolutionary Computation. 314-323
  • ORTIZ-BAYLISS, JOS脡CARLOS, TERASHIMA-MAR脥N, HUGO, 脰ZCAN, ENDER, PARKES, ANDREWJ. and CONANT-PABLOS, SANTIAGOENRIQUE, 2011. . In: BATYRSHIN, ILDAR and SIDOROV, GRIGORI, eds., Advances in Artificial Intelligence 7094. Springer Berlin Heidelberg. 125-136
  • 脰ZCAN, E. and PARKES, A.J., 2011. In: GECCO '11: Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation. 2011-2018
  • BURKE, E.K., KENDALL, G., MISIR, M. and 脰ZCAN, E., 2010. Annals of Operations Research. 196(1), 73-90
  • 脰ZCAN,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 脰ZCAN, E., 2010. . In: Lecture Notes in Computer Science: 11th International Conference on Parallel Problem Solving From Nature 6238. 496-505
  • OCHOA, G and OZCAN, E, 2010. Journal Of Heuristics. 16(6), 745-748
  • BURKE, E.K., HYDE, M., KENDALL, G., OCHOA, G., 脰ZCAN, E. and WOODWARD, J.R., 2010. A classification of hyper-heuristic approaches Handbook of Metaheuristics. 449-468
  • 脰ZCAN, 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-MAR脥N, H., 2010. Mapping the performance of heuristics for constraint satisfaction In: Evolutionary Computation (CEC), 2010 IEEE Congress on. 1-8
  • 脰ZCAN, E. and BA艦ARAN, C., 2009. Soft Computing. 13(8-9), 871-882
  • 脰ZCAN, 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
  • A艦IK, O.B. and 脰ZCAN, E., 2009. 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
  • 脰ZCAN, E., BILGIN, B. and KORKMAZ, E.E., 2008. Intelligent Data Analysis. 12(1), 3-23
  • BURKE, E. K., KENDALL, G., MISIR, M. and 脰ZCAN, E., 2008. In: 7th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2008). 1-4
  • BURKE, E. K., MISIR, M., OCHOA, G. and 脰ZCAN, E., 2008. In: 7th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2008). 1-4
  • 脰ZCAN, E. and ER脟AL, T., 2008. A genetic algorithm for generating improvised music In: Artificial Evolution. 266-277
  • 脺LKER, 脰., KORKMAZ, E. and 脰ZCAN, 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. International Journal Of Parallel Programming. 35(1), 33-61
  • BILGIN, B., 脰ZCAN, 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., 脰ZCAN, E. and UYAR, CS., 2007. Memetic algorithms and hyperhill-climbers MISTA. 7, 159-166
  • 脰ZCAN, 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
  • 脰ZCAN, E., BILGIN, B. and KORKMAZ, E., 2006. Hill climbers and mutational heuristics in hyperheuristics Parallel Problem Solving from Nature-PPSN IX. 202-211
  • 脰ZCAN, 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
  • 脰ZCAN, E., 2005. Memetic algorithms for nurse rostering Computer and Information Sciences-ISCIS 2005. 482-492
  • 脰ZCAN, 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
  • 脰ZCAN, E., CSEKER, CS.E. and KARADENI虈Z, Z.I., 2004. Generating Java Class Skeleton Using a Natural Language Interface In: NLUCS 2004. 126
  • OZCAN, E. and ONBASIOGLU, E., 2004. 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

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