KARAPETYAN, D, PUNNEN, A and PARKES, A, 2017. Markov Chain methods for the Bipartite Boolean Quadratic Programming Problem European Journal of Operational Research. 260, 494-506 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 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 PARKES, ANDREW J., ÖZCAN, ENDER and KARAPETYAN, DANIEL, 2015. A Software Interface for Supporting the Application of Data Science to Optimisation. In: DHAENENS, CLARISSE, JOURDAN, LAETITIA and MARMION, MARIE-ELÉONORE, eds., Learning and Intelligent Optimization: 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers Springer International Publishing. 306-311 KARAPETYAN, DANIELAND ATKIN, JASON A. D.AND PARKES, ANDREW J.AND CASTRO-GUTIERREZ, JUAN, 2015. Lessons from building an automated pre-departure sequencer for airports Annals of Operations Research. 1-19 A. MUKLASON, A. J. PARKES, B. MCCOLLUM and E. ÖZCAN, 2014. Fairness in Examination Timetabling: Student Preferences and Extended Formulations In: Proc. of the 10th Int. Conf. of the Practice and Theory of Automated Timetabling (PATAT 2014). 512-515
A. YARIMCAM, S. ASTA, E. ÖZCAN and A. J. PARKES, 2014. IEEE Symposium on Evolving and Autonomous Learning Systems (EALS) In: 102-108
KHEIRI, AHMED, ÖZCAN, ENDER and PARKES, ANDREW J., 2014. A stochastic local search algorithm with adaptive acceptance for high-school timetabling Annals of Operations Research. 1-17 SHAHRIAR ASTA, DANIEL KARAPETYAN, AHMED KHEIRI and ENDER �ZCAN AND ANDREW J PARKES, 2013. Combining Monte-Carlo and Hyper-heuristic methods for the Multi-mode Resource-constrained Multi-project Scheduling Problem In: Proceedings of MISTA.
SHAHRIAR ASTA, ENDER �ZCAN and ANDREW J PARKES, 2013. Dimension reduction in the search for online bin packing policies In: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation (GECCO). 65-66
AHMAD MUKLASON, ANDREW J PARKES, BARRY MCCOLLUM and ENDER �ZCAN, 2013. Initial results on fairness in examination timetabling In: Proceedings of the 6th multidisciplinary international conference on scheduling: Theory and applications (MISTA). 777-780
TIANXIANG CUI, JINGPENG LI, JOHN R WOODWARD and ANDREW J PARKES, 2013. An ensemble based genetic programming system to predict english football premier league games In: IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS),. 138-143
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
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
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
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
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 B. MCCOLLUM, P. MCMULLAN, A.J. PARKES, E.K. BURKE and R. QU, 2012. A New Model for Automated Examination Timetabling Annals of Operations Research. 194(1), 291-315 BURKE, EDMUND K., MARECEK, JAKUB, PARKES, ANDREW J. and RUDOVA, HANA, 2012. A branch-and-cut procedure for the Udine Course Timetabling problem ANNALS OF OPERATIONS RESEARCH. 194(1), 71-87 AHMED KHEIRI, ENDER OZCAN and ANDREW J PARKES, 2012. HySST: hyper-heuristic search strategies and timetabling In: Proceedings of the Ninth International Conference on the Practice and Theory of Automated Timetabling (PATAT 2012).
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
GABRIELA OCHOA, MATTHEW R. HYDE, TIM CURTOIS, JOSE ANTONIO VAZQUEZ-RODRIGUEZ, JAMES WALKER, MICHEL GENDREAU, GRAHAM KENDALL, BARRY MCCOLLUM, ANDREW PARKES, SANJA PETROVIC and EDMUND K. BURKE, 2012. HyFlex: A Benchmark Framework for Cross-domain Heuristic Search In: European Conference on Evolutionary Computation in Combinatorial Optimisation. 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 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
LI, J., PARKES, A.J. and BURKE, E., 2011. Evolutionary squeaky wheel optimization: a new framework for analysis Evolutionary Computation. 19(3), 405-428 B. MCCOLLUM, P. MCMULLAN, B. PAECHTER, R. LEWIS, A. SCHAERF, L. DI GASPERO, A. J. PARKES, R. QU, AND E.K. BURKE, 2010. Setting the Research Agenda in Automated Timetabling: The Second International Timetabling Competition INFORMS Journal of Computing. 22(1), 120-130 BURKE, E.K., MAREČEK, J., PARKES, A.J. and RUDOVÁ, H., 2010. A supernodal formulation of vertex colouring with applications in course timetabling Annals of Operations Research. 179(1), 105-130 BURKE, E., MAREČEK, J., PARKES, A.J. and RUDOVÁ, H., 2010. Decomposition, reformulation, and diving in university course timetabling Computers & Operations Research. 37(3), 582-597 BEYROUTHY, C., BURKE, E., MCCOLLUM, B., MCMULLAN, P. and PARKES, A., 2010. University space planning and space-type profiles Journal of Scheduling. 13(4), 363-374 ASMUNI, H., BURKE, E.K., GARIBALDI, J.M., MCCOLLUM, B. and PARKES, A.J., 2009. An investigation of fuzzy multiple heuristic orderings in the construction of university examination timetables Computers & Operations Research. 36(4), 981-1001 BEYROUTHY, C., BURKE, E., LANDA-SILVA, D., MCCOLLUM, B., MCMULLAN, P. and PARKES, A.J., 2009. Towards improving the utilization of university teaching space Journal of the Operational Research Society. 60(1), 130-143 BURKE, EDMUND K., MARECEK, JAKUB, PARKES, ANDREW J. and RUDOVA, HANA, 2008. Penalising Patterns in Timetables: Novel Integer Programming Formulations OPERATIONS RESEARCH PROCEEDINGS 2007. 409-414
BEYROUTHY, C., BURKE, EDMUND K., LANDA SILVA, D. J., MCCOLLUM, B., MCMULLAN, P. and PARKES, ANDREW J., 2007. The Teaching Space Allocation Problem with Splitting In: Practice and Theory of Automated Timetabling VI. Selected Papers from the 6th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2006). LNCS Vol. 3867. 228-247 BEYROUTHY, C, BURKE, E. K., LANDA-SILVA, J. D., MCCOLLUM B, MCMULLAN, P. and PARKES, A. J., 2006. Understanding the Role of UFOs Within Space Exploitation In: The 6th International Conference on the Practice and Theory of Automated Timetabling. 359-362 DIXON, H.E., GINSBERG, M.L. and PARKES, A.J., 2004. Generalizing Boolean Satisfiability I: Background and Survey of Existing Work Journal of Artificial Intelligence Research. 21, 193-243