John H. Drake

发表

Late Acceptance Hill Climbing for Constrained Covering Arrays

Edmund K. Burke, Mosab Bazargani, John H. Drake, 2018, EvoApplications.

Automatic Improvement of Apache Spark Queries using Semantics-preserving Program Reduction

Jerry Swan, John H. Drake, Zoltan A. Kocsis, 2016, GECCO.

A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework Using the Multidimensional Knapsack Problem

Edmund K. Burke, Ender Özcan, John H. Drake, 2016, Evolutionary Computation.

A Comparison of Acceptance Criteria for the Daily Car-Pooling Problem

Ender Özcan, Jerry Swan, John H. Drake, 2012, ISCIS.

Multi-objective Regression Test Suite Minimisation for Mockito

David R. White, John H. Drake, Andrew J. Turner, 2016, SSBSE.

Solving the Distributed Two Machine Flow-Shop Scheduling Problem Using Differential Evolution

Paul Dempster, John H. Drake, Penghao Li, 2017, ICSI.

Generation of VNS Components with Grammatical Evolution for Vehicle Routing

Ender Özcan, John H. Drake, Nikolaos Kililis, 2013, EuroGP.

Searching for Configurations in Clone Evaluation - A Replication Study

Jens Krinke, Chaiyong Ragkhitwetsagul, John H. Drake, 2016, SSBSE.

Crossover control in selection hyper-heuristics : case studies using MKP and HyFlex

John H. Drake, J. Drake, 2014 .

Two Frameworks for Cross-Domain Heuristic and Parameter Selection Using Harmony Search

Paul Dempster, John H. Drake, J. Drake, 2015, ICHSA.

A constructive framework for the preventive signalling maintenance crew scheduling problem in the Danish railway system

Edmund K. Burke, Kourosh Marjani Rasmussen, John H. Drake, 2019, J. Oper. Res. Soc..

Quantum Program Synthesis: Swarm Algorithms and Benchmarks

Jerry Swan, John H. Drake, Timothy Atkinson, 2019, EuroGP.

Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic

Libin Hong, Ender Özcan, John R. Woodward, 2016, GECCO.

A modified choice function hyper-heuristic controlling unary and binary operators

Edmund K. Burke, Ender Özcan, John H. Drake, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Comments on: An overview of curriculum-based course timetabling

Edmund K. Burke, Barry McCollum, Ender Özcan, 2015 .

A choice function hyper-heuristic framework for the allocation of maintenance tasks in Danish railways

Edmund K. Burke, John H. Drake, Shahrzad M. Pour, 2017, Comput. Oper. Res..

A step size based self-adaptive mutation operator for evolutionary programming

Libin Hong, Ender Özcan, John H. Drake, 2014, GECCO.

Multiobjective evolutionary algorithms for strategic deployment of resources in operational units

Gilbert Owusu, Edmund K. Burke, John H. Drake, 2020, Eur. J. Oper. Res..

A modified indicator-based evolutionary algorithm (mIBEA)

Markus Wagner, Robert Ivor John, Ender Özcan, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Bidirectional best-fit heuristic considering compound placement for two dimensional orthogonal rectangular strip packing

Kai Zhang, Ender Özcan, John H. Drake, 2013, Expert Syst. Appl..

Modified Choice Function Heuristic Selection for the Multidimensional Knapsack Problem

Edmund K. Burke, Ender Özcan, John H. Drake, 2014, ICGEC.

A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming

Libin Hong, Ender Özcan, John R. Woodward, 2018, Appl. Soft Comput..

An Improved Choice Function Heuristic Selection for Cross Domain Heuristic Search

Edmund K. Burke, Ender Özcan, John H. Drake, 2012, PPSN.

Effective reinforcement learning based local search for the maximum k-plex problem pdf

Yan Jin, Kun He, Una Benlic, 2019, ArXiv.

A Constructive Heuristic Approach for Single Airport Slot Allocation Problems

John H. Drake, John R. Woodward, Jamie Fairbrother, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Recent advances in selection hyper-heuristics

Edmund K. Burke, Ender Özcan, John H. Drake, 2020, Eur. J. Oper. Res..

A comparison of crossover control mechanisms within single-point selection hyper-heuristics using HyFlex

Edmund K. Burke, Ender Özcan, John H. Drake, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava

Mosab Bazargani, John H. Drake, Matheus Paixão, 2017, SSBSE.

A self-adaptive Multimeme Memetic Algorithm co-evolving utility scores to control genetic operators and their parameter settings

Ender Özcan, Shahriar Asta, John H. Drake, 2016, Appl. Soft Comput..

A multimodal particle swarm optimization-based approach for image segmentation

Ender Özcan, Taymaz Rahkar-Farshi, John H. Drake, 2020, Expert Syst. Appl..

Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants

Ender Özcan, Jerry Swan, John H. Drake, 2017, EvoCOP.

Late acceptance-based selection hyper-heuristics for cross-domain heuristic search

Ender Özcan, John H. Drake, Warren G. Jackson, 2013, 2013 13th UK Workshop on Computational Intelligence (UKCI).

A genetic programming hyper-heuristic for the multidimensional knapsack problem

Ender Özcan, Matthew R. Hyde, John H. Drake, 2014, Kybernetes.

Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs

Krzysztof Krawiec, Jerry Swan, John H. Drake, 2018, IJCAI.

A hybrid Constraint Programming/Mixed Integer Programming framework for the preventive signaling maintenance crew scheduling problem

Edmund K. Burke, Kourosh Marjani Rasmussen, John H. Drake, 2017, Eur. J. Oper. Res..

Controlling Crossover in a Selection Hyper-heuristic Framework

Edmund K. Burke, Ender Özcan, John H. Drake, 2011 .