Michael G. Epitropakis

According to our database, Michael G. Epitropakis authored at least 36 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

A systematic approach to parameter optimization and its application to flight schedule simulation software.

Alexander E. I. Brownlee, Michael G. Epitropakis, Jeroen Mulder, Marc Paelinck, Edmund K. Burke

J. Heuristics, 2022

2021

A hyper-heuristic approach based upon a hidden Markov model for the multi-stage nurse rostering problem.

Ahmed Kheiri, Angeliki Gretsista, Ed Keedwell, Guglielmo Lulli, Michael G. Epitropakis, Edmund K. Burke

Comput. Oper. Res., 2021

2019

HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain.

Fabio Caraffini, Ferrante Neri, Michael G. Epitropakis

Inf. Sci., 2019

2018

Hyper-heuristics.

Michael G. Epitropakis, Edmund K. Burke

Proceedings of the Handbook of Heuristics., 2018

Learning Without Peeking: Secure Multi-party Computation Genetic Programming.

Jinhan Kim, Michael G. Epitropakis, Shin Yoo

Proceedings of the Search-Based Software Engineering - 10th International Symposium, 2018

Workshops at PPSN 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

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Tutorials at PPSN 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

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2017

Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications.

Xiaodong Li, Michael G. Epitropakis, Kalyanmoy Deb, Andries P. Engelbrecht

IEEE Trans. Evol. Comput., 2017

Progressive preference articulation for decision making in multi-objective optimisation problems.

Shahin Rostami, Ferrante Neri, Michael G. Epitropakis

Integr. Comput. Aided Eng., 2017

A hybrid breakout local search and reinforcement learning approach to the vertex separator problem.

Una Benlic, Michael G. Epitropakis, Edmund K. Burke

Eur. J. Oper. Res., 2017

2016

Tutorials at PPSN 2016.

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2015

Empirical evaluation of pareto efficient multi-objective regression test case prioritisation.

Michael G. Epitropakis, Shin Yoo, Mark Harman, Edmund K. Burke

Proceedings of the 2015 International Symposium on Software Testing and Analysis, 2015

2014

Repairing and Optimizing Hadoop hashCode Implementations.

Zoltan A. Kocsis, Geoffrey Neumann, Jerry Swan, Michael G. Epitropakis, Alexander E. I. Brownlee, Saemundur O. Haraldsson, Edward Bowles

Proceedings of the Search-Based Software Engineering - 6th International Symposium, 2014

A Separability Prototype for Automatic Memes with Adaptive Operator Selection.

Michael G. Epitropakis, Fabio Caraffini, Ferrante Neri, Edmund K. Burke

Proceedings of the 2014 IEEE Symposium on Foundations of Computational Intelligence, 2014

2013

Chaos and Music: from Time Series Analysis to Evolutionary Composition.

Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis

Int. J. Bifurc. Chaos, 2013

A dynamic archive niching differential evolution algorithm for multimodal optimization.

Michael G. Epitropakis, Xiaodong Li, Edmund K. Burke

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Controlling interactive evolution of 8-bit melodies with genetic programming.

Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis

Soft Comput., 2012

Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach.

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis

Inf. Sci., 2012

Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting.

Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

Interactive Evolution of 8-Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound.

Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Andreas Floros, Michael N. Vrahatis

Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2012

Density based Projection Pursuit Clustering.

Sotiris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, Dimitris K. Tasoulis

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting.

Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Multimodal optimization using niching differential evolution with index-based neighborhoods.

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators.

Michael G. Epitropakis, Dimitris K. Tasoulis, Nicos G. Pavlidis, Vassilis P. Plagianakos, Michael N. Vrahatis

IEEE Trans. Evol. Comput., 2011

Studying the Basin of convergence of Methods for Computing periodic orbits.

Michael G. Epitropakis, Michael N. Vrahatis

Int. J. Bifurc. Chaos, 2011

Finding multiple global optima exploiting differential evolution's niching capability.

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis

Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

Feature Extraction Using Pitch Class Profile Information Entropy.

Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis

Proceedings of the Mathematics and Computation in Music - Third International Conference, 2011

Weighted Markov Chain Model for Musical Composer Identification.

Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis

Proceedings of the Applications of Evolutionary Computation, 2011

2010

Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms.

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis

Appl. Soft Comput., 2010

Musical Composer Identification through Probabilistic and Feedforward Neural Networks.

Maximos A. Kaliakatsos-Papakostas, Michael G. Epitropakis, Michael N. Vrahatis

Proceedings of the Applications of Evolutionary Computation, 2010

Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution.

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Evolutionary adaptation of the differential evolution control parameters.

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Non-monotone differential evolution.

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm.

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Computational intelligence algorithms for risk-adjusted trading strategies.

Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005

Root finding and approximation approaches through neural networks.

Michael G. Epitropakis, Michael N. Vrahatis

SIGSAM Bull., 2005