Michael G. Epitropakis

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Michael N. VrahatisDepartment of Mathematics, University of Patras, GreeceVerified email at upatras.gr
Vassilis PlagianakosProfessor, Department of Computer Science and Biomedical Informatics, University of Thessaly, GreeceVerified email at uth.gr
Edmund Kieran BurkeBangor UniversityVerified email at bangor.ac.uk
Andries EngelbrechtStellenbosch University, Department of Industrial Engineering, and Division of Computer ScienceVerified email at sun.ac.za
Nicos PavlidisLancaster UniversityVerified email at lancaster.ac.uk
Dimitris TasoulisSenior ResearcherVerified email at wintoncapital.com
Maximos Kaliakatsos-PapakostasHellenic Mediterranean UniversityVerified email at hmu.gr
Ferrante NeriProfessor of Machine Learning and Artificial Intelligence, NICE group, University of SurreyVerified email at surrey.ac.uk
Shin YooKorea Advanced Institute of Science and TechnologyVerified email at kaist.ac.kr
Kalyanmoy DebKoenig Endowed Chair Professor, Electrical and Computer Engineering, Michigan State UniversityVerified email at egr.msu.edu
Mark HarmanResearch Scientist at Meta & Professor of Software Engineering at UCLVerified email at ucl.ac.uk
Jerry SwanResearch Director, Hylomorph SolutionsVerified email at hylomorph-solutions.com
Andreas FlorosProfessor, Audio Technology, Ionian UniversityVerified email at ionio.gr
Fabio CaraffiniSwansea UniversityVerified email at swansea.ac.uk
Alexander E.I. BrownleeSenior Lecturer, University of Stirling, previously Loughborough, Robert GordonVerified email at cs.stir.ac.uk
Shahin RostamiData Science Lab, Polyra LimitedVerified email at shahinrostami.com
John.R.Woodward@gmail.com Head...Loughborough Uni. previously Head of OR LAB@QMUL, Stirling, Nottingham & BirminghamVerified email at lboro.ac.uk
Saemundur HaraldssonLecturer, University of StirlingVerified email at cs.stir.ac.uk
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Una BenlicPhD in Operations ResearchVerified email at qmul.ac.uk

Michael G. Epitropakis

Lecturer, Data Science Institute, Management Science, Lancaster University

Verified email at lancaster.ac.uk - Homepage

Global Optimization Evolutionary Computation Meta-Heuristics Operations Research Differential Evolution


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Enhancing differential evolution utilizing proximity-based mutation operators MG Epitropakis, DK Tasoulis, NG Pavlidis, VP Plagianakos, MN Vrahatis IEEE Transactions on Evolutionary Computation 15 (1), 99-119, 2011	366	2011
Benchmark functions for CEC’2013 special session and competition on niching methods for multimodal function optimization X Li, A Engelbrecht, MG Epitropakis RMIT University, Evolutionary Computation and Machine Learning Group …, 2013	350	2013
Seeking Multiple Solutions: an Updated Survey on Niching Methods and Their Applications X Li, MG Epitropakis, K Deb, A Engelbrecht IEEE Transactions on Evolutionary Computation, 1-21, 2016	276	2016
Evolving cognitive and social experience in particle swarm optimization through differential evolution: a hybrid approach MG Epitropakis, VP Plagianakos, MN Vrahatis Information Sciences 216, 50-92, 2012	152	2012
Empirical evaluation of pareto efficient multi-objective regression test case prioritisation MG Epitropakis, S Yoo, M Harman, EK Burke Proceedings of the 2015 International Symposium on Software Testing and …, 2015	117	2015
A dynamic archive niching differential evolution algorithm for multimodal optimization MG Epitropakis, X Li, EK Burke 2013 IEEE Congress on Evolutionary Computation, 79-86, 2013	96	2013
Finding multiple global optima exploiting differential evolution's niching capability MG Epitropakis, VP Plagianakos, MN Vrahatis 2011 IEEE symposium on differential evolution (SDE), 1-8, 2011	81	2011
Progressive preference articulation for decision making in multi-objective optimisation problems S Rostami, F Neri, M Epitropakis Integrated Computer-Aided Engineering 24 (4), 315-335, 2017	65	2017
Balancing the exploration and exploitation capabilities of the differential evolution algorithm MG Epitropakis, VP Plagianakos, MN Vrahatis 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008	62	2008
HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain F Caraffini, F Neri, M Epitropakis Information Sciences 477, 186-202, 2019	52	2019
Hardware-friendly higher-order neural network training using distributed evolutionary algorithms MG Epitropakis, VP Plagianakos, MN Vrahatis Applied Soft Computing 10 (2), 398-408, 2010	47	2010
Weighted Markov Chain model for musical composer identification MA Kaliakatsos-Papakostas, MG Epitropakis, MN Vrahatis European conference on the applications of evolutionary computation, 334-343, 2011	42	2011
Musical composer identification through probabilistic and feedforward neural networks MA Kaliakatsos-Papakostas, MG Epitropakis, MN Vrahatis European Conference on the Applications of Evolutionary Computation, 411-420, 2010	38	2010
Evolving cognitive and social experience in particle swarm optimization through differential evolution MG Epitropakis, VP Plagianakos, MN Vrahatis IEEE Congress on Evolutionary Computation, 1-8, 2010	36	2010
Gen-O-Fix: An embeddable framework for Dynamic Adaptive Genetic Improvement Programming J Swan, M Epitropakis, J Woodward	28	2014
Results of the 2013 IEEE CEC competition on niching methods for multimodal optimization X Li, A Engelbrecht, M Epitropakis Report presented at 2013 IEEE Congress on Evolutionary Computation …, 2013	28	2013
A Hybrid Breakout Local Search and Reinforcement Learning Approach to the Vertex Separator Problem U Benlic, MG Epitropakis, EK Burke European Journal of Operational Research, 2017	26	2017
Multimodal optimization using niching differential evolution with index-based neighborhoods MG Epitropakis, VP Plagianakos, MN Vrahatis 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012	26	2012
Interactive Evolution of 8–bit melodies with Genetic Programming towards finding aesthetic measures for sound MA Kaliakatsos–Papakostas, MG Epitropakis, A Floros, MN Vrahatis Evolutionary and Biologically Inspired Music, Sound, Art and Design: First …, 2012	24	2012
A hyper-heuristic approach based upon a hidden Markov model for the multi-stage nurse rostering problem A Kheiri, A Gretsista, E Keedwell, G Lulli, MG Epitropakis, EK Burke Computers & operations research 130, 105221, 2021	21	2021

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