Publications

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Report
M. G. Epitropakis, Yoo, S., Harman, M., and Burke, E. K., Pareto Efficient Multi-Objective Regression Test Suite Prioritisation, Department of Computer Science, University College London, Gower Street, London, 2014.
J. Swan, Epitropakis, M. G., and Woodward, J. R., Gen-O-Fix: An embeddable framework for Dynamic Adaptive Genetic Improvement Programming, Computing Science and Mathematics, University of Stirling, Stirling FK9 4LA, Scotland, CSM-195, 2014. (363.27 KB)
X. Li, Engelbrecht, A., and Epitropakis, M. G., Benchmark Functions for CEC'2013 Special Session and Competition on Niching Methods for Multimodal Function Optimization', Evolutionary Computation and Machine Learning Group, RMIT University, Melbourne, Australia, 2013. (1013.54 KB)
Journal Article
M. G. Epitropakis and Vrahatis, M. N., Studying the basin of convergence of methods for computing periodic orbits, International Journal of Bifurcation and Chaos (IJBC), vol. 21, pp. 1-28, 2011. (3.34 MB)
X. Li, Epitropakis, M. G., Deb, K., and Engelbrecht, A., Seeking Multiple Solutions: an Updated Survey on Niching Methods and Their Applications, IEEE Transactions on Evolutionary Computation, vol. PP, pp. 1-1, 2016. (1.2 MB)
M. G. Epitropakis and Vrahatis, M. N., Root finding and approximation approaches through neural networks, ACM SIGSAM Bulleting, vol. 39, pp. 118-121, 2005. (123 KB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Hardware-Friendly Higher-Order Neural Network Training Using Distributed Evolutionary Algorithms, Applied Soft Computing, vol. 10, pp. 398-408, 2010. (280.11 KB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach, Information Sciences, vol. 216, pp. 50-92, 2012. (2.72 MB)
M. G. Epitropakis, Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P., and Vrahatis, M. N., Enhancing Differential Evolution Utilizing Proximity-based Mutation Operators, IEEE Transactions on Evolutionary Computation, vol. 15, pp. 99-119, 2011. (3.04 MB)
M. A. Kaliakatsos–Papakostas, Epitropakis, M. G., Floros, A., and Vrahatis, M. N., Controlling interactive evolution of 8-bit melodies with genetic programming, Soft Computing - A Fusion of Foundations, Methodologies and Applications, vol. 16, pp. 1997-2008, 2012. (3.64 MB)
M. A. Kaliakatsos-Papakostas, Epitropakis, M. G., Floros, A., and Vrahatis, M. N., Chaos and Music: From time series analysis to evolutionary composition, International Journal of Bifurcation and Chaos (IJBC), vol. 23, no. 11, p. 1350181, 2013. (746.76 KB)
Conference Proceedings
M. G. Epitropakis, Li, X., and Burke, E. K., A Dynamic Archive Niching Differential Evolution Algorithm for Multimodal Optimization, IEEE Congress on Evolutionary Computation, 2013. CEC 2013. Cancun, Mexico, pp. 79-86, 2013. (913.7 KB)
Conference Paper
M. A. Kaliakatsos-Papakostas, Epitropakis, M. G., and Vrahatis, M. N., Weighted Markov Chain Model for Musical Composer Identification, in Applications of Evolutionary Computation, 2011. (319.57 KB)
M. G. Epitropakis, Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P., and Vrahatis, M. N., Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting, in IEEE Congress on Evolutionary Computation, 2012. CEC 2012. (IEEE World Congress on Computational Intelligence), Brisbane, Australia, 2012. (1.25 MB)
M. G. Epitropakis, Caraffini, F., Neri, F., and Burke, E. K., A Separability Prototype for Automatic Memes with Adaptive Operator Selection, in Foundations of Computational Intelligence (FOCI), 2014 IEEE Symposium on, 2014. (442.71 KB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Non-Monotone Differential Evolution, in Proceedings of the 10th annual inproceedings on Genetic evolutionary computation, GECCO 2008, New York, NY, USA, 2008. (69.4 KB)
M. A. Kaliakatsos-Papakostas, Epitropakis, M. G., and Vrahatis, M. N., Musical Composer Identification through Probabilistic and Feedforward Neural Networks, in Applications of Evolutionary Computation, 2010. (137.14 KB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Multimodal Optimization Using Niching Differential Evolution with Index-based Neighborhoods, in IEEE Congress on Evolutionary Computation, 2012. CEC 2012. (IEEE World Congress on Computational Intelligence), Brisbane, Australia, 2012. (479.12 KB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Integer Weight Higher-Order Neural Network Training Using Distributed Differential Evolution, in International Conference of Computational Methods in Sciences and Engineering, Crete, Greece, 2006.
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Higher-Order Neural Networks Training Using Differential Evolution, in International Conference of Numerical Analysis and Applied Mathematics, Hersonissos, Crete, Greece, 2006.
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Finding Multiple Global Optima Exploiting Differential Evolution’s Niching Capability, in IEEE Symposium on Differential Evolution, 2011. SDE 2011. (IEEE Symposium Series on Computational Intelligence), Paris, France, 2011. (684.55 KB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution, in IEEE Congress on Evolutionary Computation, 2010. CEC 2010. (IEEE World Congress on Computational Intelligence), Barcelona, Spain, 2010. (1.19 MB)
M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., Evolutionary Adaptation of the Differential Evolution Control Parameters, in IEEE Congress on Evolutionary Computation, 2009. CEC 2009, Trondheim, Norway, 2009. (182.16 KB)
M. G. Epitropakis, Yoo, S., Harman, M., and Burke, E. K., Empirical Evaluation of Pareto Efficient Multi-objective Regression Test Case Prioritisation, in International Symposium on Software Testing and Analysis (ISSTA'15), Baltimore, MD, USA, 2015. (434.42 KB)
S. K. Tasoulis, Epitropakis, M. G., Plagianakos, V. P., and Tasoulis, D. K., Density Based Projection Pursuit Clustering, in IEEE Congress on Evolutionary Computation, 2012. CEC 2012. (IEEE World Congress on Computational Intelligence), Brisbane, Australia, 2012. (982.49 KB)

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