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Michael G. Epitropakis
Michael G. Epitropakis
Lecturer, Data Science Institute, Management Science, Lancaster University
Verified email at lancaster.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
3662011
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
3492013
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
2752016
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
1512012
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
1162015
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
952013
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
812011
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
652017
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
612008
HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain
F Caraffini, F Neri, M Epitropakis
Information Sciences 477, 186-202, 2019
512019
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
472010
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
412011
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
382010
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
362010
Gen-O-Fix: An embeddable framework for Dynamic Adaptive Genetic Improvement Programming
J Swan, M Epitropakis, J Woodward
282014
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
272013
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
262017
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
262012
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
232012
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
212021
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Articles 1–20