A Comparison of Acceptance Criteria for the Daily Car-Pooling Problem. - Jerry Swan; John H. Drake; Ender Özcan; James Goulding; John Robert Woodward (ISCIS, 2012)

An Improved Choice Function Heuristic Selection for Cross Domain Heuristic Search. - John H. Drake; Ender Özcan; Edmund K. Burke (PPSN (2), 2012)

Generation of VNS Components with Grammatical Evolution for Vehicle Routing. - John H. Drake; Nikolaos Kililis; Ender Özcan (EuroGP, 2013)

Late acceptance-based selection hyper-heuristics for cross-domain heuristic search. - Warren G. Jackson; Ender Ozcan; John H. Drake (UKCI, 2013)

Bidirectional best-fit heuristic considering compound placement for two dimensional orthogonal rectangular strip packing. - Ender Özcan; Kai Zhang; John H. Drake (Expert Syst. Appl., 2013)

A step size based self-adaptive mutation operator for evolutionary programming. - Libin Hong 001; John H. Drake; Ender Özcan (GECCO (Companion), 2014)

Modified Choice Function Heuristic Selection for the Multidimensional Knapsack Problem. - John H. Drake; Ender Özcan; Edmund K. Burke (ICGEC, 2014)

A genetic programming hyper-heuristic for the multidimensional knapsack problem. - John H. Drake; Matthew R. Hyde; Khaled Ibrahim; Ender Özcan (Kybernetes, 2014)

Crossover control in selection hyper-heuristics : case studies using MKP and HyFlex. - John H. Drake (2014)

A comparison of crossover control mechanisms within single-point selection hyper-heuristics using HyFlex. - John H. Drake; Ender Özcan; Edmund K. Burke (CEC, 2015)

A Modified Choice Function hyper-heuristic controlling unary and binary operators. - John H. Drake; Ender Özcan; Edmund K. Burke (CEC, 2015)

Two Frameworks for Cross-Domain Heuristic and Parameter Selection Using Harmony Search. - Paul Dempster; John H. Drake (ICHSA, 2015)

Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic. - Libin Hong 001; John H. Drake; John R. Woodward; Ender Özcan (GECCO, 2016)

Automatic Improvement of Apache Spark Queries using Semantics-preserving Program Reduction. - Zoltan A. Kocsis; John H. Drake; Douglas Carson; Jerry Swan (GECCO (Companion), 2016)

Searching for Configurations in Clone Evaluation - A Replication Study. - Chaiyong Ragkhitwetsagul; Matheus Paixão; Manal T. Adham; Saheed A. Busari; Jens Krinke; John H. Drake (SSBSE, 2016)

Multi-objective Regression Test Suite Minimisation for Mockito. - Andrew James Turner; David R. White 003; John H. Drake (SSBSE, 2016)

A self-adaptive Multimeme Memetic Algorithm co-evolving utility scores to control genetic operators and their parameter settings. - Ender Özcan; John H. Drake; Cevriye Altintas; Shahriar Asta (Appl. Soft Comput., 2016)

A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework Using the Multidimensional Knapsack Problem. - John H. Drake; Ender Özcan; Edmund K. Burke (Evol. Comput., 2016)

A modified indicator-based evolutionary algorithm (mIBEA). - Wenwen Li 003; Ender Özcan; Robert I. John; John H. Drake; Aneta Neumann; Markus Wagner 007 (CEC, 2017)

Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants. - John H. Drake; Jerry Swan; Geoffrey Neumann; Ender Özcan (EvoCOP, 2017)

A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava. - Giovani Guizzo; Mosab Bazargani; Matheus Paixão; John H. Drake (SSBSE, 2017)

Solving the Distributed Two Machine Flow-Shop Scheduling Problem Using Differential Evolution. - Paul Dempster; Penghao Li; John H. Drake (ICSI (1), 2017)

Late Acceptance Hill Climbing for Constrained Covering Arrays. - Mosab Bazargani; John H. Drake; Edmund K. Burke (EvoApplications, 2018)

Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs. - Krzysztof Krawiec; Iwo Bladek; Jerry Swan; John H. Drake (IJCAI, 2018)

A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming. - Libin Hong 001; John H. Drake; John R. Woodward; Ender Özcan (Appl. Soft Comput., 2018)

A choice function hyper-heuristic framework for the allocation of maintenance tasks in Danish railways. - Shahrzad M. Pour; John H. Drake; Edmund K. Burke (Comput. Oper. Res., 2018)

A hybrid Constraint Programming/Mixed Integer Programming framework for the preventive signaling maintenance crew scheduling problem. - Shahrzad M. Pour; John H. Drake; Lena Secher Ejlertsen; Kourosh Marjani Rasmussen; Edmund K. Burke (Eur. J. Oper. Res., 2018)

Quantum Program Synthesis: Swarm Algorithms and Benchmarks. - Timothy Atkinson 001; Athena Karsa; John H. Drake; Jerry Swan (EuroGP, 2019)

A Constructive Heuristic Approach for Single Airport Slot Allocation Problems. - Sha Wang; John H. Drake; Jamie Fairbrother; John R. Woodward (SSCI, 2019)

Effective reinforcement learning based local search for the maximum k-plex problem. - Yan Jin 005; John H. Drake; Una Benlic; Kun He 001 (CoRR, 2019)

A constructive framework for the preventive signalling maintenance crew scheduling problem in the Danish railway system. - Shahrzad M. Pour; Kourosh Marjani Rasmussen; John H. Drake; Edmund K. Burke (J. Oper. Res. Soc., 2019)

Recent advances in selection hyper-heuristics. - John H. Drake; Ahmed Kheiri; Ender Özcan; Edmund K. Burke (Eur. J. Oper. Res., 2020)

Multiobjective evolutionary algorithms for strategic deployment of resources in operational units. - John H. Drake; Andrew Starkey; Gilbert Owusu; Edmund K. Burke (Eur. J. Oper. Res., 2020)

A multimodal particle swarm optimization-based approach for image segmentation. - Taymaz Rahkar-Farshi; John H. Drake; Ender Özcan (Expert Syst. Appl., 2020)

Natural SQL: Making SQL Easier to Infer from Natural Language Specifications. - Yujian Gan; Xinyun Chen; Jinxia Xie; Matthew Purver; John R. Woodward; John H. Drake; Qiaofu Zhang (EMNLP (Findings), 2021)

Intelligent Strategies to Combine Move Heuristics in Selection Hyper-heuristics for Real-World Fibre Network Design Optimisation. - Anil Arpaci; Jun Chen 009; John H. Drake; Tim Glover (SSCI, 2021)

Sequence-based Selection Hyper-heuristics for Real-World Fibre Network Design Optimisation. - Anil Arpaci; Jun Chen 009; John H. Drake; Tim Glover (CEC, 2022)

Network Design Optimisation Using Two Population-Based Search Strategies. - Anil Arpaci; Jun Chen 009; John H. Drake; Tim Glover (UKCI, 2022)

Reinforcement learning based coarse-to-fine search for the maximum k-plex problem. - Yan Jin 005; John H. Drake; Kun He 001; Una Benlic (Appl. Soft Comput., 2022)

An Evolutionary Hyper-Heuristic for Airport Slot Allocation. - David Melder; John H. Drake; Sha Wang (EvoApplications@EvoStar, 2023)

An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms. - Düriye Betül Gümüs; Ender Özcan; Jason A. D. Atkin; John H. Drake (Inf. Sci., 2023)

A generality analysis of multiobjective hyper-heuristics. - Wenwen Li 003; Ender Özcan; John H. Drake; Mashael S. Maashi (Inf. Sci., 2023)

A constraint programming approach to a real-world workforce scheduling problem for multi-manned assembly lines with sequence-dependent setup times. - Funda Güner; Abdül Kadir Görür; Benhür Satir; Levent Kandiller; John H. Drake (Int. J. Prod. Res., 2024)

Constructing selection hyper-heuristics for open vehicle routing with time delay neural networks using multiple experts. - Raras Tyasnurita; Ender Özcan; John H. Drake; Shahriar Asta (Knowl. Based Syst., 2024)

Machine learning-based algorithm selection for irregular three-dimensional packing in additive manufacturing. - Luiz Jonatã Pires de Araújo; Ender Özcan; Jason A. D. Atkin; Martin Baumers; John H. Drake (Expert Syst. Appl., 2025)