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Hong, Libin, Drake, John H., Woodward, John R. and Özcan, Ender (2017) A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming. Applied Soft Computing, 62 . pp. 162-175. ISSN 1872-9681

Li, Wenwen, Özcan, Ender, John, Robert, Drake, John H., Neumann, Aneta and Wagner, Markus (2017) A modified indicator-based evolutionary algorithm (mIBEA). In: IEEE Congress on Evolutionary Computation 2017, 5-9 June 2017, Donostia-San Sebastian, Spain.

Swan, Jerry, Drake, John H., Neumann, Geoff and Özcan, Ender (2017) Sparse, continuous policy representations for uniform online bin packing via regression of interpolants. Lecture Notes in Computer Science, 10197 . pp. 189-200. ISSN 0302-9743

Özcan, Ender, Drake, John H., Altıntaş, Cevriye and Asta, Shahriar (2016) A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings. Applied Soft Computing, 49 . pp. 81-93. ISSN 1872-9681

Hong, Libin, Drake, John H., Woodward, John R. and Özcan, Ender (2016) Automatically designing more general mutation operators of evolutionary programming for groups of function classes using a hyper-heuristic. In: The Genetic and Evolutionary Computation Conference (GECCO 2016), 24-24 July 2016, Denver, Colorado.

Burke, Edmund, Drake, John H., McCollum, Barry and Özcan, Ender (2015) Comments on: An overview of curriculum-based course timetabling. TOP, 23 (2). pp. 355-358. ISSN 1863-8279

Drake, John H., Özcan, Ender and Burke, Edmund K. (2015) A comparison of crossover control mechanisms within single-point selection hyper-heuristics using HyFlex. In: 2015 IEEE Congress on Evolutionary Computation (CEC2015), 25-28 May 2015, Sendai, Japan.

Drake, John H., Özcan, Ender and Burke, Edmund K. (2015) A modified choice function hyper-heuristic controlling unary and binary operators. In: 2015 IEEE Congress on Evolutionary Computation (CEC2015), 25-28 May 2015, Sendai, Japan.

Drake, John H., Özcan, Ender and Burke, Edmund (2015) A case study of controlling crossover in a selection hyper-heuristic framework using the multidimensional knapsack problem. Evolutionary Computation . ISSN 1530-9304

Drake, John H., Özcan, Ender and Burke, Edmund K. (2014) Modified choice function heuristic selection for the multidimensional knapsack problem. In: Genetic and evolutionary computing. Advances in Intelligent Systems and Computing (329). Springer, pp. 225-234. ISBN 9783319122854

Drake, John H., Hyde, Matthew, Khaled, Ibrahim and Özcan, Ender (2014) A genetic programming hyper-heuristic for the multidimensional knapsack problem. Kybernetes, 43 (9/10). pp. 1500-1511. ISSN 0368-492X

Drake, John H. (2014) Crossover control in selection hyper-heuristics: case studies using MKP and HyFlex. PhD thesis, University of Nottingham.