Publications:  Dr John Drake

Pour S, Rasmussen KM, DRAKE J, BURKE E(2019). A Constructive Framework for the Preventive Signalling Maintenance Crew Scheduling Problem in the Danish Railway system. Journal of the Operational Research Society

DRAKE J(2019). Multiobjective evolutionary algorithms for strategic deployment of resources in operational units. European Journal of Operational Research

Atkinson T, Karsa A, Drake J, Swan J (2019). Quantum Program Synthesis: Swarm Algorithms and Benchmarks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 11451 LNCS, 19-34.

Krawiec K, Bladek I, Swan J, Drake JH (2018). Counterexample-driven genetic programming: Stochastic synthesis of provably correct programs. IJCAI International Joint Conference on Artificial Intelligence. vol. 2018-July, 5304-5308.

Bazargani M, Drake JH, Burke EK (2018). Late Acceptance Hill Climbing for Constrained Covering Arrays. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 10784 LNCS, 778-793.

DRAKE J, woodward JR(2017). A Hyper-heuristic Approach to Automated Generation of Mutation Operators for Evolutionary Programming. Applied Soft Computing vol. 62, 162-175.

Pour SM, Drake JH, Burke EK(2017). A choice function hyper-heuristic framework for the allocation of maintenance tasks in Danish railways. Computers & Operations Research

Pour SM, DRAKE J, Ejlertsen LS, Rasmussen KM, Burke EK(2017). A hybrid Constraint Programming/Mixed Integer Programming framework for the preventive signaling maintenance crew scheduling problem. European Journal of Operational Research

Li W, Özcan E, John R, Drake JH, Neumann A, Wagner M (2017). A modified indicator-based evolutionary algorithm (mIBEA). 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. 1047-1054.

Guizzo G, Bazargani M, Paixao M, Drake JH (2017). A hyper-heuristic for multi-objective integration and test ordering in google guava. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 10452 LNCS, 168-174.

Dempster P, Li P, Drake JH (2017). Solving the distributed two machine flow-shop scheduling problem using differential evolution. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 10385 LNCS, 449-457.

Drake JH, Swan J, Neumann G, Özcan E (2017). Sparse, continuous policy representations for uniform online bin packing via regression of interpolants. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 10197 LNCS, 189-200.

Özcan E, Drake JH, Alt¿nta¿ C, Asta S(2016). A self-adaptive Multimeme Memetic Algorithm co-evolving utility scores to control genetic operators and their parameter settings. Applied Soft Computing vol. 49, Article C, 81-93.

Kocsis ZA, Drake JH, Carson D, Swan J (2016). Automatic improvement of apache spark queries using semantics-preserving program reduction. GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference. 1141-1146.

Drake JH, Özcan E, Burke EK(2016). A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework Using the Multidimensional Knapsack Problem. Evolutionary Computation vol. 24, (1) 113-141.

Turner AJ, White DR, Drake JH (2016). Multi-objective regression test suite minimisation for mockito. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9962 LNCS, 244-249.

Ragkhitwetsagul C, Paixao M, Adham M, Busari S, Krinke J, Drake JH (2016). Searching for configurations in clone evaluation - A replication study. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9962 LNCS, 250-256.