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ORCIDMichael G. Epitropakis
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2020 – today
- 2022
[j13]Alexander E. I. Brownlee
, Michael G. Epitropakis, Jeroen Mulder, Marc Paelinck, Edmund K. Burke:
A systematic approach to parameter optimization and its application to flight schedule simulation software. J. Heuristics 28(4): 509-538 (2022)- 2021
- [j12]Ahmed Kheiri, Angeliki Gretsista, Ed Keedwell, Guglielmo Lulli, Michael G. Epitropakis, Edmund K. Burke:
A hyper-heuristic approach based upon a hidden Markov model for the multi-stage nurse rostering problem. Comput. Oper. Res. 130: 105221 (2021) - [e1]Mike Preuss, Michael G. Epitropakis, Xiaodong Li, Jonathan E. Fieldsend:
Metaheuristics for Finding Multiple Solutions. Natural Computing Series, Springer 2021, ISBN 978-3-030-79552-8 [contents]
2010 – 2019
- 2019
- [j11]Fabio Caraffini, Ferrante Neri, Michael G. Epitropakis:
HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain. Inf. Sci. 477: 186-202 (2019) - 2018
- [c22]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - [c21]Robin C. Purshouse, Christine Zarges, Sylvain Cussat-Blanc, Michael G. Epitropakis, Marcus Gallagher, Thomas Jansen, Pascal Kerschke, Xiaodong Li, Fernando G. Lobo, Julian F. Miller, Pietro S. Oliveto, Mike Preuss, Giovanni Squillero, Alberto Paolo Tonda, Markus Wagner, Thomas Weise, Dennis Wilson, Borys Wróbel, Ales Zamuda:
Workshops at PPSN 2018. PPSN (2) 2018: 490-497 - [c20]Jinhan Kim, Michael G. Epitropakis, Shin Yoo:
Learning Without Peeking: Secure Multi-party Computation Genetic Programming. SSBSE 2018: 246-261 - [r1]Michael G. Epitropakis, Edmund K. Burke:
Hyper-heuristics. Handbook of Heuristics 2018: 489-545 - 2017
- [j10]Una Benlic, Michael G. Epitropakis, Edmund K. Burke:
A hybrid breakout local search and reinforcement learning approach to the vertex separator problem. Eur. J. Oper. Res. 261(3): 803-818 (2017) - [j9]Shahin Rostami, Ferrante Neri, Michael G. Epitropakis:
Progressive preference articulation for decision making in multi-objective optimisation problems. Integr. Comput. Aided Eng. 24(4): 315-335 (2017) - [j8]Xiaodong Li, Michael G. Epitropakis, Kalyanmoy Deb, Andries P. Engelbrecht:
Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications. IEEE Trans. Evol. Comput. 21(4): 518-538 (2017) - 2016
- [c19]Carola Doerr, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer:
Tutorials at PPSN 2016. PPSN 2016: 1012-1022 - 2015
- [c18]Michael G. Epitropakis, Shin Yoo, Mark Harman, Edmund K. Burke:
Empirical evaluation of pareto efficient multi-objective regression test case prioritisation. ISSTA 2015: 234-245 - 2014
- [c17]Michael G. Epitropakis, Fabio Caraffini, Ferrante Neri, Edmund K. Burke:
A Separability Prototype for Automatic Memes with Adaptive Operator Selection. FOCI 2014: 70-77 - [c16]Zoltan A. Kocsis, Geoffrey Neumann, Jerry Swan, Michael G. Epitropakis, Alexander E. I. Brownlee, Saemundur O. Haraldsson, Edward Bowles:
Repairing and Optimizing Hadoop hashCode Implementations. SSBSE 2014: 259-264 - 2013
- [j7]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis:
Chaos and Music: from Time Series Analysis to Evolutionary Composition. Int. J. Bifurc. Chaos 23(11) (2013) - [c15]Michael G. Epitropakis, Xiaodong Li, Edmund K. Burke:
A dynamic archive niching differential evolution algorithm for multimodal optimization. IEEE Congress on Evolutionary Computation 2013: 79-86 - 2012
- [j6]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach. Inf. Sci. 216: 50-92 (2012) - [j5]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis:
Controlling interactive evolution of 8-bit melodies with genetic programming. Soft Comput. 16(12): 1997-2008 (2012) - [c14]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Multimodal optimization using niching differential evolution with index-based neighborhoods. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c13]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c12]Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis:
Density based Projection Pursuit Clustering. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c11]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis:
Interactive Evolution of 8-Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound. EvoMUSART 2012: 141-152 - [c10]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting. SETN 2012: 214-222 - 2011
- [j4]Michael G. Epitropakis, Michael N. Vrahatis:
Studying the Basin of convergence of Methods for Computing periodic orbits. Int. J. Bifurc. Chaos 21(8): 2079-2106 (2011) - [j3]Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators. IEEE Trans. Evol. Comput. 15(1): 99-119 (2011) - [c9]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis:
Weighted Markov Chain Model for Musical Composer Identification. EvoApplications (2) 2011: 334-343 - [c8]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis:
Feature Extraction Using Pitch Class Profile Information Entropy. MCM 2011: 354-357 - [c7]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Finding multiple global optima exploiting differential evolution's niching capability. SDE 2011: 80-87 - 2010
- [j2]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms. Appl. Soft Comput. 10(2): 398-408 (2010) - [c6]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c5]Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis:
Musical Composer Identification through Probabilistic and Feedforward Neural Networks. EvoApplications (2) 2010: 411-420
2000 – 2009
- 2009
- [c4]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Evolutionary adaptation of the differential evolution control parameters. IEEE Congress on Evolutionary Computation 2009: 1359-1366 - 2008
- [c3]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm. IEEE Congress on Evolutionary Computation 2008: 2686-2693 - [c2]Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Non-monotone differential evolution. GECCO 2008: 527-528 - 2007
- [c1]Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
Computational intelligence algorithms for risk-adjusted trading strategies. IEEE Congress on Evolutionary Computation 2007: 540-547 - 2005
- [j1]Michael G. Epitropakis, Michael N. Vrahatis:
Root finding and approximation approaches through neural networks. SIGSAM Bull. 39(4): 118-121 (2005)
Coauthor Index
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