Michael G. Epitropakis

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 10

Top Topics

Examination Timetabling

Differential Evolution Algorithm

Parameter Optimization

Top Venues

Comput. Oper. Res.

Int. J. Bifurc. Chaos

Publications

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) (2022)
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 (2021)
Fabio Caraffini, Ferrante Neri, Michael G. Epitropakis
HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain. Inf. Sci. 477 (2019)
Jinhan Kim, Michael G. Epitropakis, Shin Yoo
Learning Without Peeking: Secure Multi-party Computation Genetic Programming. SSBSE (2018)
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)
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)
Shahin Rostami, Ferrante Neri, Michael G. Epitropakis
Progressive preference articulation for decision making in multi-objective optimisation problems. Integr. Comput. Aided Eng. 24 (4) (2017)
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) (2017)
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) (2017)
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)
Michael G. Epitropakis, Shin Yoo, Mark Harman, Edmund K. Burke
Empirical evaluation of pareto efficient multi-objective regression test case prioritisation. ISSTA (2015)
Michael G. Epitropakis, Fabio Caraffini, Ferrante Neri, Edmund K. Burke
A Separability Prototype for Automatic Memes with Adaptive Operator Selection. FOCI (2014)
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)
Michael G. Epitropakis, Xiaodong Li, Edmund K. Burke
A dynamic archive niching differential evolution algorithm for multimodal optimization. IEEE Congress on Evolutionary Computation (2013)
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)
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)
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)
Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis
Density based Projection Pursuit Clustering. IEEE Congress on Evolutionary Computation (2012)
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) (2012)
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)
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 (2012)
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)
Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis
Feature Extraction Using Pitch Class Profile Information Entropy. MCM (2011)
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) (2011)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Finding multiple global optima exploiting differential evolution's niching capability. SDE (2011)
Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis
Weighted Markov Chain Model for Musical Composer Identification. EvoApplications (2) (2011)
Michael G. Epitropakis, Michael N. Vrahatis
Studying the Basin of convergence of Methods for Computing periodic orbits. Int. J. Bifurc. Chaos 21 (8) (2011)
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) (2010)
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)
Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis
Musical Composer Identification through Probabilistic and Feedforward Neural Networks. EvoApplications (2) (2010)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Evolutionary adaptation of the differential evolution control parameters. IEEE Congress on Evolutionary Computation (2009)
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)
Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis
Non-monotone differential evolution. GECCO (2008)
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)
Michael G. Epitropakis, Michael N. Vrahatis
Root finding and approximation approaches through neural networks. SIGSAM Bull. 39 (4) (2005)