| Recent advances in selection hyper-heuristics JH Drake, A Kheiri, E Özcan, EK Burke European Journal of Operational Research 285 (2), 405-428, 2020 | 342 | 2020 |
| A multimodal particle swarm optimization-based approach for image segmentation TR Farshi, JH Drake, E Özcan Expert Systems with Applications 149, 113233, 2020 | 94 | 2020 |
| Natural SQL: Making SQL easier to infer from natural language specifications Y Gan, X Chen, J Xie, M Purver, JR Woodward, J Drake, Q Zhang arXiv preprint arXiv:2109.05153, 2021 | 92 | 2021 |
| An Improved Choice Function Heuristic Selection for Cross Domain Heuristic Search JH Drake, E Özcan, E Burke Parallel Problem Solving from Nature-PPSN XII, 307-316, 2012 | 82 | 2012 |
| A hybrid constraint programming/mixed integer programming framework for the preventive signaling maintenance crew scheduling problem SM Pour, JH Drake, LS Ejlertsen, KM Rasmussen, EK Burke European Journal of Operational Research 269 (1), 341-352, 2018 | 75 | 2018 |
| A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem JH Drake, E Özcan, EK Burke Evolutionary computation 24 (1), 113-141, 2016 | 70* | 2016 |
| A genetic programming hyper-heuristic for the multidimensional knapsack problem JH Drake, M Hyde, K Ibrahim, E Özcan Kybernetes 43 (9-10), 1500-1511, 2014 | 69 | 2014 |
| A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming L Hong, JH Drake, JR Woodward, E Özcan Applied Soft Computing 62, 162-175, 2018 | 46 | 2018 |
| Generation of vns components with grammatical evolution for vehicle routing JH Drake, N Kililis, E Özcan European conference on genetic programming, 25-36, 2013 | 41 | 2013 |
| Late acceptance-based selection hyper-heuristics for cross-domain heuristic search WG Jackson, E Özcan, JH Drake 2013 13th UK Workshop on Computational Intelligence (UKCI), 228-235, 2013 | 37 | 2013 |
| A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings E Özcan, JH Drake, C Altıntaş, S Asta Applied Soft Computing 49, 81-93, 2016 | 33 | 2016 |
| Bidirectional best-fit heuristic considering compound placement for two dimensional orthogonal rectangular strip packing E Özcan, Z Kai, JH Drake Expert Systems with Applications 40 (10), 4035-4043, 2013 | 30 | 2013 |
| A choice function hyper-heuristic framework for the allocation of maintenance tasks in Danish railways SM Pour, JH Drake, EK Burke Computers & Operations Research 93, 15-26, 2018 | 29 | 2018 |
| A modified choice function hyper-heuristic controlling unary and binary operators JH Drake, E Özcan, EK Burke 2015 IEEE Congress on Evolutionary Computation (CEC), 3389-3396, 2015 | 28 | 2015 |
| Modified choice function heuristic selection for the multidimensional knapsack problem JH Drake, E Özcan, EK Burke Genetic and Evolutionary Computing: Proceeding of the Eighth International …, 2015 | 22 | 2015 |
| A modified indicator-based evolutionary algorithm (mIBEA) W Li, E Özcan, R John, JH Drake, A Neumann, M Wagner 2017 IEEE Congress on Evolutionary Computation (CEC), 1047-1054, 2017 | 19 | 2017 |
| A constructive framework for the preventive signalling maintenance crew scheduling problem in the Danish railway system SM Pour, K Marjani Rasmussen, JH Drake, EK Burke Journal of the Operational Research Society 70 (11), 1965-1982, 2019 | 17 | 2019 |
| Automatic improvement of Apache Spark queries using semantics-preserving program reduction ZA Kocsis, JH Drake, D Carson, J Swan Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 17 | 2016 |
| Quantum program synthesis: Swarm algorithms and benchmarks T Atkinson, A Karsa, J Drake, J Swan Genetic Programming: 22nd European Conference, EuroGP 2019, Held as Part of …, 2019 | 15 | 2019 |
| Multi-objective regression test suite minimisation for mockito AJ Turner, DR White, JH Drake Search Based Software Engineering: 8th International Symposium, SSBSE 2016 …, 2016 | 14 | 2016 |
Ender ÖzcanProfessor of Computer Science and Operations Research, University of Nottingham在 nottingham.ac.uk 的电子邮件经过验证