M. Epitropakis

发表

Density based Projection Pursuit Clustering

Dimitris K. Tasoulis, Michael G. Epitropakis, Vassilis P. Plagianakos, 2012, 2012 IEEE Congress on Evolutionary Computation.

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

Michael G. Epitropakis, Michael N. Vrahatis, Andreas Floros, 2012, EvoMUSART.

Musical Composer Identification through Probabilistic and Feedforward Neural Networks

Michael G. Epitropakis, Michael N. Vrahatis, Maximos A. Kaliakatsos-Papakostas, 2010, EvoApplications.

Chaos and Music: from Time Series Analysis to Evolutionary Composition

Michael G. Epitropakis, Michael N. Vrahatis, Andreas Floros, 2013, Int. J. Bifurc. Chaos.

A Separability Prototype for Automatic Memes with Adaptive Operator Selection

Edmund K. Burke, Michael G. Epitropakis, Fabio Caraffini, 2014, 2014 IEEE Symposium on Foundations of Computational Intelligence (FOCI).

Evolutionary adaptation of the differential evolution control parameters

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2009, 2009 IEEE Congress on Evolutionary Computation.

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

Michael G. Epitropakis, Ferrante Neri, Shahin Rostami, 2017, Integr. Comput. Aided Eng..

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

Xiaodong Li, Kalyanmoy Deb, Michael G. Epitropakis, 2017, IEEE Transactions on Evolutionary Computation.

Multimodal optimization using niching differential evolution with index-based neighborhoods

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2012, 2012 IEEE Congress on Evolutionary Computation.

Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators

Dimitris K. Tasoulis, Nicos G. Pavlidis, Michael G. Epitropakis, 2011, IEEE Transactions on Evolutionary Computation.

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

Dimitris K. Tasoulis, Nicos G. Pavlidis, Michael G. Epitropakis, 2012, 2012 IEEE Congress on Evolutionary Computation.

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

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2010, IEEE Congress on Evolutionary Computation.

Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

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

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2012, Inf. Sci..

Studying the Basin of convergence of Methods for Computing periodic orbits

Michael G. Epitropakis, Michael N. Vrahatis, M. N. Vrahatis, 2011, Int. J. Bifurc. Chaos.

Benchmark Functions for CEC'2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization'

Xiaodong Li, Michael G. Epitropakis, Andries P. Engelbrecht, 2013 .

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

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2010, Appl. Soft Comput..

Results of the 2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization

Michael G. Epitropakis, Andries P. Engelbrecht, Xiaodong Li, 2013 .

A dynamic archive niching differential evolution algorithm for multimodal optimization

Xiaodong Li, Edmund K. Burke, Michael G. Epitropakis, 2013, 2013 IEEE Congress on Evolutionary Computation.

Finding multiple global optima exploiting differential evolution's niching capability

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2011, 2011 IEEE Symposium on Differential Evolution (SDE).

Feature Extraction Using Pitch Class Profile Information Entropy

Michael G. Epitropakis, Michael N. Vrahatis, Maximos A. Kaliakatsos-Papakostas, 2011, MCM.

Weighted Markov Chain Model for Musical Composer Identification

Michael G. Epitropakis, Michael N. Vrahatis, Maximos A. Kaliakatsos-Papakostas, 2011, EvoApplications.

Learning Without Peeking: Secure Multi-party Computation Genetic Programming

Shin Yoo, Michael G. Epitropakis, Jinhan Kim, 2018, SSBSE.

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

Michael G. Epitropakis, Fabio Caraffini, Ferrante Neri, 2019, Inf. Sci..

Predictive scheduling for optimal cloud configuration

Edmund K. Burke, Michael G. Epitropakis, Marco Aldinucci, 2014 .

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

Edmund K. Burke, Michael G. Epitropakis, Una Benlic, 2017, Eur. J. Oper. Res..

Root finding and approximation approaches through neural networks

Michael G. Epitropakis, Michael N. Vrahatis, M. N. Vrahatis, 2005, SIGS.

Evolutionary Algorithm Training of Higher Order Neural Networks

Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis, 2010 .

Controlling interactive evolution of 8-bit melodies with genetic programming

Michael G. Epitropakis, Michael N. Vrahatis, Andreas Floros, 2012, Soft Computing.

Computational intelligence algorithms for risk-adjusted trading strategies

Nicos G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, 2007, 2007 IEEE Congress on Evolutionary Computation.

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

Mark Harman, Edmund K. Burke, Shin Yoo, 2015, ISSTA.