Publications

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Journal Article

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. 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. 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, 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 and Vrahatis, M. N., “Root finding and approximation approaches through neural networks”, ACM SIGSAM Bulleting, vol. 39, pp. 118-121, 2005.

(123 KB)

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., “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)

Report

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)

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)

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.

Pages

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