Recent advances in selection hyper-heuristics John H. Drake, Ahmed Kheiri, Ender Özcan, and Edmund K. Burke European Journal of Operational Research, August 2019. [doi]
An Evolutionary Algorithm Based Hyper-heuristic Framework For the Set Packing Problem Sachchida N. Chaurasia and Joon H. Kim Information Sciences, Elsevier, Volume 505, pp. 1–31, July 2019. [bib] [doi]
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, and Edmund K. Burke Journal of the Operational Research Society, May 2019. [doi]
Multiobjective evolutionary algorithms for strategic deployment of resources in operational units John H. Drake, Andrew Starkey, Gilbert Owusuand, and Edmund K. Burke European Journal of Operational Research, February 2019. [doi]
Refereed Conferences Proceedings
Modelling Player Preferences in AR Mobile Games Vivek R. Warriar, John R. Woodward, and Laurissa Tokarchuk In Proceedings of the 2019 IEEE Conference on Games (CoG), August 2019 [doi]
PlayMapper: Illuminating Design Spaces of Platform Games Vivek R. Warriar, Carmen Ugarte, John R. Woodward, and Laurissa Tokarchuk In Proceedings of the 2019 IEEE Conference on Games (CoG), August 2019 [doi]
Quantum Program Synthesis: Swarm Algorithms and Benchmarks Timothy Atkinson, Athena Karsa, John H. Drake, Jerry Swan In Proceedings of the European Conference on Genetic Programming (EuroGP), April 2019 [doi]
2018
Refereed Journal Papers
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, and Edmund K. Burke European Journal of Operational Research, Volume 269, Number 1, pp. 341–352, August 2018. [bib] [doi]
A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation Alexander E.I. Brownlee, Michal Weiszer, Jun Chen, Stefan Ravizza, John R. Woodward, and Edmund K. Burke Transportation Research Part C: Emerging Technologies, Volume 92, pp. 150–175, Elsevier BV, July 2018. [bib] [doi]
Preference-based Evolutionary Algorithm for Airport Surface Operations Michal Weiszer, Jun Chen, Paul Stewart, and Xuejun Zhang Transportation Research Part C: Emerging Technologies, Volume 91, pp. 296–316, Elsevier BV, June 2018. [bib] [doi]
A Choice Function Hyper-heuristic Framework for the Allocation of Maintenance Tasks in Danish Railways Shahrzad M. Pour, John H. Drake, and Edmund K. Burke Computers & Operations Research, Volume 93, pp. 15–26, May 2018. [bib] [doi]
Optimal Risk Transfer: A Numerical Optimization Approach Alexandru V. Asimit, Tao Gao, Junlei Hu, and Eun-Seok Kim North American Actuarial Journal, pp. 1–24, Informa UK Limited, March 2018. [bib] [doi]
A Hybrid Dynamic Programming and Memetic Algorithm to the Traveling Salesman Problem with Hotel Selection Yongliang Lu, Una Benlic, and Qinghua Wu Computers & Operations Research, Volume 90, pp. 193–207, February 2018. [bib] [doi]
Heuristic Search for Allocation of Slots at Network Level Una Benlic Transportation Research Part C: Emerging Technologies, Volume 86, pp. 488–509, January 2018. [bib] [doi]
A Hyper-heuristic Approach to Automated Generation of Mutation Operators for Evolutionary Programming Libin Hong, John H. Drake, John R. Woodward, and Ender Özcan Applied Soft Computing, Volume 62, pp. 162–175, January 2018. [bib] [doi]
An Online Speed Profile Generation Approach for Efficient Airport Ground Movement Tianci Zhang, Meng Ding, Hongfu Zuo, Jun Chen, Michal Weiszer, Xiaoyan Qian, and Edmund K. Burke Transportation Research Part C: Emerging Technologies, 2018. [bib]
Refereed Conferences Proceedings
A Rolling Window with Genetic Algorithm Approach to Sorting Aircraft for Automated Taxi Routing Alexander E.I. Brownlee, John R. Woodward, Michal Weiszer, and Jun Chen In Proceedings of the Proceedings of the 2018 on Genetic and Evolutionary Computation Conference (GECCO 2018), ACM. Kyoto, Japan, July 2018. [To Appear]. [bib]
Late Acceptance Hill Climbing for Constrained Covering Arrays Mosab Bazargani, John H. Drake, and Edmund K. Burke In Proceedings of the Proceedings of the 21st European Conference on the Applications of Evolutionary Computation (EvoApplications 2018), Volume 10784 of Lecture Notes in Computer Science (LNCS), pages 778–793, Springer. Parma, Italy, April 2018. [bib] [doi]
Book Chapters
Hyper-heuristics Michael G. Epitropakis and Edmund K. Burke In Handbook of Heuristics, pages 1–57, Springer International Publishing. 2018. [bib] [doi]
2017
Refereed Journal Papers
Pruning Rules for Optimal Runway Sequencing Geert De Maere, Jason A. D. Atkin, and Edmund K. Burke Transportation Science, pp. 1–19, Institute for Operations Research and the Management Sciences (INFORMS), October 2017. [bib] [doi]
A Methodology for Determining an Effective Subset of Heuristics in Selection Hyper-heuristics Jorge A. Soria-Alcaraz, Gabriela Ochoa, Marco A. Sotelo-Figeroa, and Edmund K. Burke European Journal of Operational Research, Volume 260, pp. 972–983, Elsevier, August 2017. [bib] [doi]
The Late Acceptance Hill-Climbing Heuristic Edmund K Burke and Yuri Bykov European Journal of Operational Research, Volume 258, Number 1, pp. 70–78, Elsevier, April 2017. [bib] [doi]
Breakout Local Search for the Multi-objective Gate Allocation Problem Una Benlic, Edmund K. Burke, and John R. Woodward Computers & Operations Research, Volume 78, pp. 80–93, Elsevier, February 2017. [bib] [doi]
A Hybrid Breakout Local Search and Reinforcement Learning Approach to the Vertex Separator Problem Una Benlic, Michael G. Epitropakis, and Edmund K. Burke European Journal of Operational Research, Volume 261, Number 3, pp. 803–818, Elsevier, 2017. [bib] [doi]
Refereed Conferences Proceedings
A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava Giovani Guizzo, Mosab Bazargani, Matheus Paixão, and John H. Drake In Proceedings of the 9th International Symposium on Search Based Software Engineering (SSBSE 2017), Volume 10452 of Lecture Notes in Computer Science (LNCS), pages 168–174, Springer. Paderborn, Germany, September 2017. [bib] [doi]
Parameter-less Late Acceptance Hill-Climbing Mosab Bazargani and Fernando Lobo In Proceedings of the Proceedings of the 2017 on Genetic and Evolutionary Computation Conference (GECCO 2017), pages 219–226, ACM. Berlin, Germany, July 2017. [bib] [doi]
Solving the Distributed Two Machine Flow-shop Scheduling Problem Using Differential Evolution Paul Dempster, Penghao Li, and John H. Drake In Proceedings of the 8th International Conference on Advances in Swarm Intelligence (ICSI 2017), Part I, Volume 10385 of Lecture Notes in Computer Science (LNCS), pages 449–457, Springer. Fukuoka, Japan, July 2017. [bib] [doi]
An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering Angeliki Gretsista and Edmund K. Burke In Proceedings of the Proceedings of the 11th Learning and Intelligent Optimization Conference (LION 11), Lecture Notes in Computer Science (LNCS), pages 93–108, Springer. Nizhny, Russia, June 2017. [bib] [doi]
A Modified Indicator-based Evolutionary Algorithm (mIBEA) Wenwen Li, Ender Özcan, Robert John, John H. Drake, Aneta Neumann, and Markus Wagner In Proceedings of the Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2017), pages 1047–1054, IEEE Press. San Sebastián, Spain, June 2017. [bib] [doi]
Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants John H. Drake, Jerry Swan, Geoff Neumann, and Ender Özcan In Proceedings of the Proceedings of the 17th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2017), Volume 10197 of Lecture Notes in Computer Science (LNCS), pages 189–200, Springer. Amsterdam, The Netherlands, April 2017. [bib] [doi]
2016
Refereed Journal Papers
A Self-Adaptive Multimeme Memetic Algorithm Co-evolving Utility Scores to Control Genetic Operators and their Parameter Settings Ender Özcan, John H. Drake, Cevriye Altıntaş, and Shahriar Asta Applied Soft Computing, Volume 49, pp. 81–93, Elsevier, December 2016. [bib] [doi]
Toward a More Realistic, Cost-effective, and Greener Ground Movement Through Active Routing: A Multiobjective Shortest Path Approach Jun Chen, Michal Weiszer, Giorgio Locatelli, Stefan Ravizza, Jason A. Atkin, Paul Stewart, and Edmund K. Burke IEEE Transactions on Intelligent Transportation Systems, Volume 17, Number 12, pp. 3524–3540, IEEE, December 2016. [bib] [doi]
An Adaptive Flex-Deluge Approach to University Exam Timetabling Edmund K. Burke and Yuri Bykov INFORMS Journal on Computing, Volume 28, Number 4, pp. 781–794, Institute for Operations Research and the Management Sciences (INFORMS), November 2016. [bib] [doi]
Heuristic Search for the Coupled Runway Sequencing and Taxiway Routing Problem Una Benlic, Alexander EI Brownlee, and Edmund K. Burke Transportation Research Part C: Emerging Technologies, Volume 71, pp. 333–355, Elsevier, October 2016. [bib] [doi]
A Multi-agent Based Cooperative Approach to Scheduling and Routing Simon Martin, Djamila Ouelhadj, Patrick Beullens, Ender Özcan, Angel A. Juan, and Edmund K. Burke European Journal of Operational Research, Volume 254, Issue 1, pp. 169–178, Elsevier, October 2016. [bib] [doi]
A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework Using the Multidimensional Knapsack Problem John H. Drake, Ender Özcan, and Edmund K. Burke Evolutionary Computation, Volume 24, Number 1, pp. 113–141, MIT Press, March 2016. [bib] [doi]
Refereed Conferences Proceedings
Clustering of Maintenance Tasks for the Danish Railway System Shahrzad M. Pour and Una Benlic In Proceedings of the Intelligent Systems Design and Applications: 16th International Conference on Intelligent Systems Design and Applications (ISDA 2016), Volume 557 of Advances in Intelligent Systems and Computing (AISC), pages 791–799, Springer. Porto, Portugal, December 2016. [bib] [doi]
Searching for Configurations in Clone Evaluation – A Replication Study Chaiyong Ragkhitwetsagul, Matheus Paixao, Manal Adham, Saheed Busari, Jens Krinke, and John H. Drake In Proceedings of the 8th International Symposium on Search Based Software Engineering (SSBSE 2016), Volume 9962 of Lecture Notes in Computer Science (LNCS), pages 250–256, Springer. Raleigh, NC, USA, October 2016. [bib] [doi]
Multi-objective Regression Test Suite Minimisation for Mockito Andrew J. Turner, David R. White, and John H. Drake In Proceedings of the 8th International Symposium on Search Based Software Engineering (SSBSE 2016), Volume 9962 of Lecture Notes in Computer Science (LNCS), pages 244–249, Springer. Raleigh, NC, USA, October 2016. [bib] [doi]
Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-heuristic Libin Hong, John H. Drake, John R. Woodward, and Ender Özcan In Proceedings of the Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (GECCO 2016), pages 725–732, ACM. Denver, Colorado, USA, July 2016. [bib] [doi]
Automatic Improvement of Apache Spark Queries using Semantics-preserving Program Reduction Zoltan A. Kocsis, John H. Drake, Douglas Carson, and Jerry Swan In Proceedings of the Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (Companion) (GECCO 2016), pages 1141–1146, ACM. Denver, Colorado, USA, July 2016. [bib] [doi]
Last update on 12-11-2019
An Evolutionary Algorithm Based Hyper-heuristic Framework For the Set Packing Problem
@Article{Chaurasia2019,
title = {An Evolutionary Algorithm Based Hyper-heuristic Framework For the Set Packing Problem},
author = {Sachchida N. Chaurasia and Joon H. Kim},
doi = {10.1016/j.ins.2019.07.073},
journal = {Information Sciences, Elsevier},
month = {July},
volume = {505},
pages = {1--31},
year = {2019},
}
A Hybrid Constraint Programming/Mixed Integer Programming Framework for the Preventive Signaling Maintenance Crew Scheduling Problem
@Article{Pour2018a,
title = {A Hybrid Constraint Programming/Mixed Integer Programming Framework for the Preventive Signaling Maintenance Crew Scheduling Problem},
author = {Shahrzad M. Pour and John H. Drake and Lena Secher Ejlertsen and Kourosh Marjani Rasmussen and Edmund K. Burke},
doi = {10.1016/j.ejor.2017.08.033},
journal = {European Journal of Operational Research},
number = {1},
month = {aug},
volume = {269},
pages = {341--352},
year = {2018},
}
A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation
@Article{Brownlee2018,
title = {A Fuzzy Approach to Addressing Uncertainty in Airport Ground Movement Optimisation},
author = {Alexander E.I. Brownlee and Michal Weiszer and Jun Chen and Stefan Ravizza and John R. Woodward and Edmund K. Burke},
publisher = {Elsevier {BV}},
doi = {10.1016/j.trc.2018.04.020},
journal = {Transportation Research Part C: Emerging Technologies},
month = {jul},
volume = {92},
pages = {150--175},
year = {2018},
}
Preference-based Evolutionary Algorithm for Airport Surface Operations
@Article{Weiszer2018,
title = {Preference-based Evolutionary Algorithm for Airport Surface Operations},
author = {Michal Weiszer and Jun Chen and Paul Stewart and Xuejun Zhang},
publisher = {Elsevier {BV}},
doi = {10.1016/j.trc.2018.04.008},
journal = {Transportation Research Part C: Emerging Technologies},
month = {jun},
volume = {91},
pages = {296--316},
year = {2018},
}
A Choice Function Hyper-heuristic Framework for the Allocation of Maintenance Tasks in Danish Railways
@Article{Pour2018,
title = {A Choice Function Hyper-heuristic Framework for the Allocation of Maintenance Tasks in Danish Railways},
author = {Shahrzad M. Pour and John H. Drake and Edmund K. Burke},
doi = {10.1016/j.cor.2017.09.011},
journal = {Computers \& Operations Research},
month = may,
volume = {93},
pages = {15--26},
year = {2018},
}
Optimal Risk Transfer: A Numerical Optimization Approach
@Article{Asimit2018,
title = {Optimal Risk Transfer: A Numerical Optimization Approach},
author = {Alexandru V. Asimit and Tao Gao and Junlei Hu and Eun-Seok Kim},
publisher = {Informa {UK} Limited},
doi = {10.1080/10920277.2017.1421472},
journal = {North American Actuarial Journal},
month = {mar},
pages = {1--24},
year = {2018},
}
A Hybrid Dynamic Programming and Memetic Algorithm to the Traveling Salesman Problem with Hotel Selection
@Article{Lu2018,
title = {A Hybrid Dynamic Programming and Memetic Algorithm to the Traveling Salesman Problem with Hotel Selection},
author = {Yongliang Lu and Una Benlic and Qinghua Wu},
doi = {10.1016/j.cor.2017.09.008},
journal = {Computers \& Operations Research},
month = feb,
volume = {90},
pages = {193--207},
year = {2018},
}
Heuristic Search for Allocation of Slots at Network Level
@Article{Benlic2018,
title = {Heuristic Search for Allocation of Slots at Network Level},
author = {Una Benlic},
doi = {10.1016/j.trc.2017.03.015},
journal = {Transportation Research Part C: Emerging Technologies},
month = jan,
volume = {86},
pages = {488--509},
year = {2018},
}
A Hyper-heuristic Approach to Automated Generation of Mutation Operators for Evolutionary Programming
@Article{Hong2018,
title = {A Hyper-heuristic Approach to Automated Generation of Mutation Operators for Evolutionary Programming},
author = {Libin Hong and John H. Drake and John R. Woodward and Ender Özcan},
doi = {10.1016/j.asoc.2017.10.002},
journal = {Applied Soft Computing},
month = jan,
volume = {62},
pages = {162--175},
year = {2018},
}
An Online Speed Profile Generation Approach for Efficient Airport Ground Movement
@Article{Zhang2018,
title = {An Online Speed Profile Generation Approach for Efficient Airport Ground Movement},
author = {Tianci Zhang and Meng Ding and Hongfu Zuo and Jun Chen and Michal Weiszer and Xiaoyan Qian and Edmund K. Burke},
journal = {Transportation Research Part C: Emerging Technologies},
note = {[To Appear]},
year = {2018},
}
A Rolling Window with Genetic Algorithm Approach to Sorting Aircraft for Automated Taxi Routing
@InProceedings{AlexanderE.I.Brownlee2018,
title = {A Rolling Window with Genetic Algorithm Approach to Sorting Aircraft for Automated Taxi Routing},
author = {Alexander E.I. Brownlee and John R. Woodward and Michal Weiszer and Jun Chen},
publisher = {ACM},
booktitle = {Proceedings of the 2018 on Genetic and Evolutionary Computation Conference ({GECCO} 2018)},
month = jul,
note = {[To Appear]},
address = {Kyoto, Japan},
year = {2018},
}
Late Acceptance Hill Climbing for Constrained Covering Arrays
@InProceedings{Bazargani2018,
title = {Late Acceptance Hill Climbing for Constrained Covering Arrays},
author = {Mosab Bazargani and John H. Drake and Edmund K. Burke},
publisher = {Springer},
doi = {10.1007/978-3-319-77538-8_52},
series = {Lecture Notes in Computer Science ({LNCS})},
booktitle = {Proceedings of the 21st European Conference on the Applications of Evolutionary Computation (EvoApplications 2018)},
month = april,
volume = {10784},
pages = {778--793},
address = {Parma, Italy},
year = {2018},
}
Hyper-heuristics
@InCollection{Epitropakis2018,
title = {Hyper-heuristics},
author = {Michael G. Epitropakis and Edmund K. Burke},
publisher = {Springer International Publishing},
doi = {10.1007/978-3-319-07153-4_32-1},
booktitle = {Handbook of Heuristics},
pages = {1--57},
year = {2018},
}
Pruning Rules for Optimal Runway Sequencing
@Article{Maere2017,
title = {Pruning Rules for Optimal Runway Sequencing},
author = {Geert De Maere and Jason A. D. Atkin and Edmund K. Burke},
publisher = {Institute for Operations Research and the Management Sciences ({INFORMS})},
doi = {10.1287/trsc.2016.0733},
journal = {Transportation Science},
month = {oct},
pages = {1--19},
year = {2017},
}
A Methodology for Determining an Effective Subset of Heuristics in Selection Hyper-heuristics
@Article{Soria-Alcaraz2017,
title = {A Methodology for Determining an Effective Subset of Heuristics in Selection Hyper-heuristics},
author = {Jorge A. Soria-Alcaraz and Gabriela Ochoa and Marco A. Sotelo-Figeroa and Edmund K. Burke},
publisher = {Elsevier},
issn = {3},
journal = {European Journal of Operational Research},
month = {aug},
volume = {260},
doi = {10.1016/j.ejor.2017.01.042},
pages = {972--983},
year = {2017},
}
The Late Acceptance Hill-Climbing Heuristic
@Article{Burke2017,
title = {The Late Acceptance Hill-Climbing Heuristic},
author = {Burke, Edmund K and Bykov, Yuri},
publisher = {Elsevier},
doi = {10.1016/j.ejor.2016.07.012},
journal = {European Journal of Operational Research},
number = {1},
month = apr,
volume = {258},
pages = {70--78},
year = {2017},
}
Breakout Local Search for the Multi-objective Gate Allocation Problem
@Article{Benlic2017a,
title = {Breakout Local Search for the Multi-objective Gate Allocation Problem},
author = {Benlic, Una and Burke, Edmund K. and Woodward, John R.},
publisher = {Elsevier},
doi = {10.1016/j.cor.2016.08.010},
journal = {Computers \& Operations Research},
month = feb,
volume = {78},
pages = {80--93},
year = {2017},
}
A Hybrid Breakout Local Search and Reinforcement Learning Approach to the Vertex Separator Problem
@Article{Benlic2017,
title = {A Hybrid Breakout Local Search and Reinforcement Learning Approach to the Vertex Separator Problem},
author = {Benlic, Una and Epitropakis, Michael G. and Burke, Edmund K.},
publisher = {Elsevier},
doi = {10.1016/j.ejor.2017.01.023},
journal = {European Journal of Operational Research},
number = {3},
volume = {261},
pages = {803--818},
year = {2017},
}
A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava
@InProceedings{Guizzo2017,
title = {A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava},
author = {Giovani Guizzo and Mosab Bazargani and Matheus Paix{\~{a}}o and John H. Drake},
publisher = {Springer},
doi = {10.1007/978-3-319-66299-2_15},
series = {Lecture Notes in Computer Science ({LNCS})},
booktitle = {9th International Symposium on Search Based Software Engineering ({SSBSE} 2017)},
month = sep,
volume = {10452},
pages = {168--174},
address = {Paderborn, Germany},
year = {2017},
}
Parameter-less Late Acceptance Hill-Climbing
@InProceedings{Bazargani2017,
title = {Parameter-less Late Acceptance Hill-Climbing},
author = {Mosab Bazargani and Fernando Lobo},
publisher = {ACM},
doi = {10.1145/3071178.3071225},
booktitle = {Proceedings of the 2017 on Genetic and Evolutionary Computation Conference ({GECCO} 2017)},
month = jul,
pages = {219--226},
address = {Berlin, Germany},
year = {2017},
}
Solving the Distributed Two Machine Flow-shop Scheduling Problem Using Differential Evolution
@InProceedings{Dempster2017,
title = {Solving the Distributed Two Machine Flow-shop Scheduling Problem Using Differential Evolution},
author = {Paul Dempster and Penghao Li and John H. Drake},
publisher = {Springer},
doi = {10.1007/978-3-319-61824-1_49},
series = {Lecture Notes in Computer Science ({LNCS})},
booktitle = {8th International Conference on Advances in Swarm Intelligence ({ICSI} 2017), Part {I}},
month = jul,
volume = {10385},
pages = {449--457},
address = {Fukuoka, Japan},
year = {2017},
}
An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering
@InProceedings{Gretsista2017,
title = {An Iterated Local Search Framework with Adaptive Operator Selection for Nurse Rostering},
author = {Angeliki Gretsista and Edmund K. Burke},
publisher = {Springer},
doi = {10.1007/978-3-319-69404-7_7},
series = {Lecture Notes in Computer Science ({LNCS})},
booktitle = {Proceedings of the 11th Learning and Intelligent Optimization Conference (LION 11)},
month = jun,
pages = {93--108},
address = {Nizhny, Russia},
year = {2017},
}
A Modified Indicator-based Evolutionary Algorithm (mIBEA)
@InProceedings{Li2017,
title = {A Modified Indicator-based Evolutionary Algorithm ({mIBEA})},
author = {Wenwen Li and Ender \"{O}zcan and Robert John and John H. Drake and Aneta Neumann and Markus Wagner},
publisher = {IEEE Press},
doi = {10.1109/CEC.2017.7969423},
booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation ({CEC} 2017)},
month = jun,
pages = {1047--1054},
address = {San Sebasti{\'{a}}n, Spain},
year = {2017},
}
Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants
@InProceedings{Drake2017,
title = {Sparse, Continuous Policy Representations for Uniform Online Bin Packing via Regression of Interpolants},
author = {John H. Drake and Jerry Swan and Geoff Neumann and Ender \"{O}zcan},
publisher = {Springer},
doi = {10.1007/978-3-319-55453-2_13},
series = {Lecture Notes in Computer Science ({LNCS})},
booktitle = {Proceedings of the 17th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2017)},
month = april,
volume = {10197},
pages = {189-200},
address = {Amsterdam, The Netherlands},
year = {2017},
}
A Self-Adaptive Multimeme Memetic Algorithm Co-evolving Utility Scores to Control Genetic Operators and their Parameter Settings
@Article{Oezcan2016,
title = {A Self-Adaptive Multimeme Memetic Algorithm Co-evolving Utility Scores to Control Genetic Operators and their Parameter Settings},
author = {Ender Özcan and John H. Drake and Cevriye Alt{\i}nta{\c{s}} and Shahriar Asta},
publisher = {Elsevier},
doi = {10.1016/j.asoc.2016.07.032},
journal = {Applied Soft Computing},
month = {dec},
volume = {49},
pages = {81--93},
year = {2016},
}
Toward a More Realistic, Cost-effective, and Greener Ground Movement Through Active Routing: A Multiobjective Shortest Path Approach
@Article{Chen2016,
title = {Toward a More Realistic, Cost-effective, and Greener Ground Movement Through Active Routing: A Multiobjective Shortest Path Approach},
author = {Jun Chen and Michal Weiszer and Giorgio Locatelli and Stefan Ravizza and Jason A. Atkin and Paul Stewart and Edmund K. Burke},
publisher = {{IEEE}},
doi = {10.1109/TITS.2016.2587619},
journal = {{IEEE} Transactions on Intelligent Transportation Systems},
number = {12},
month = {dec},
volume = {17},
pages = {3524--3540},
year = {2016},
}
An Adaptive Flex-Deluge Approach to University Exam Timetabling
@Article{Burke2016,
title = {An Adaptive Flex-Deluge Approach to University Exam Timetabling},
author = {Edmund K. Burke and Yuri Bykov},
publisher = {Institute for Operations Research and the Management Sciences ({INFORMS})},
doi = {10.1287/ijoc.2015.0680},
journal = {{INFORMS} Journal on Computing},
number = {4},
month = {nov},
volume = {28},
pages = {781--794},
year = {2016},
}
Heuristic Search for the Coupled Runway Sequencing and Taxiway Routing Problem
@Article{Benlic2016,
title = {Heuristic Search for the Coupled Runway Sequencing and Taxiway Routing Problem},
author = {Benlic, Una and Brownlee, Alexander EI and Burke, Edmund K.},
publisher = {Elsevier},
doi = {10.1016/j.trc.2016.08.004},
journal = {Transportation Research Part C: Emerging Technologies},
month = oct,
volume = {71},
pages = {333--355},
year = {2016},
}
A Multi-agent Based Cooperative Approach to Scheduling and Routing
@Article{Martin2016,
title = {A Multi-agent Based Cooperative Approach to Scheduling and Routing},
author = {Simon Martin and Djamila Ouelhadj and Patrick Beullens and Ender \"{O}zcan and Angel A. Juan and Edmund K. Burke},
publisher = {Elsevier},
doi = {10.1016/j.ejor.2016.02.045},
issue = {1},
journal = {European Journal of Operational Research},
month = {oct},
volume = {254},
pages = {169--178},
year = {2016},
}
A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework Using the Multidimensional Knapsack Problem
@Article{Drake2016,
title = {A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework Using the Multidimensional Knapsack Problem},
author = {John H. Drake and Ender Özcan and Edmund K. Burke},
publisher = {{MIT} Press},
doi = {10.1162/evco_a_00145},
journal = {Evolutionary Computation},
number = {1},
month = {mar},
volume = {24},
pages = {113--141},
year = {2016},
}
Clustering of Maintenance Tasks for the Danish Railway System
@InProceedings{Pour2016,
title = {Clustering of Maintenance Tasks for the Danish Railway System},
author = {Shahrzad M. Pour and Una Benlic},
publisher = {Springer},
doi = {10.1007/978-3-319-53480-0_78},
series = {Advances in Intelligent Systems and Computing ({AISC})},
booktitle = {Intelligent Systems Design and Applications: 16th International Conference on Intelligent Systems Design and Applications (ISDA 2016)},
month = dec,
volume = {557},
pages = {791--799},
address = {Porto, Portugal},
year = {2016},
}
Searching for Configurations in Clone Evaluation – A Replication Study
@InProceedings{Ragkhitwetsagul2016,
title = {Searching for Configurations in Clone Evaluation -- A Replication Study},
author = {Chaiyong Ragkhitwetsagul and Matheus Paixao and Manal Adham and Saheed Busari and Jens Krinke and John H. Drake},
publisher = {Springer},
doi = {10.1007/978-3-319-47106-8_20},
series = {Lecture Notes in Computer Science ({LNCS})},
booktitle = {8th International Symposium on Search Based Software Engineering ({SSBSE} 2016)},
month = oct,
volume = {9962},
pages = {250--256},
address = {Raleigh, NC, USA},
year = {2016},
}
Multi-objective Regression Test Suite Minimisation for Mockito
@InProceedings{Turner2016,
title = {Multi-objective Regression Test Suite Minimisation for Mockito},
author = {Andrew J. Turner and David R. White and John H. Drake},
publisher = {Springer},
doi = {10.1007/978-3-319-47106-8_19},
series = {Lecture Notes in Computer Science ({LNCS})},
booktitle = {8th International Symposium on Search Based Software Engineering ({SSBSE} 2016)},
month = oct,
volume = {9962},
pages = {244--249},
address = {Raleigh, NC, USA},
year = {2016},
}
Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-heuristic
@InProceedings{Hong2016,
title = {Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-heuristic},
author = {Libin Hong and John H. Drake and John R. Woodward and Ender Özcan},
publisher = {{ACM}},
doi = {10.1145/2908812.2908958},
booktitle = {Proceedings of the 2016 on Genetic and Evolutionary Computation Conference ({GECCO} 2016)},
month = jul,
pages = {725--732},
address = {Denver, Colorado, USA},
year = {2016},
}
Automatic Improvement of Apache Spark Queries using Semantics-preserving Program Reduction
@InProceedings{Kocsis2016,
title = {Automatic Improvement of Apache Spark Queries using Semantics-preserving Program Reduction},
author = {Zoltan A. Kocsis and John H. Drake and Douglas Carson and Jerry Swan},
publisher = {{ACM}},
doi = {10.1145/2908961.2931692},
booktitle = {Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (Companion) ({GECCO} 2016)},