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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)
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C. Doerr, Bredeche, N., Alba, E., Bartz-Beielstein, T., Brockhoff, D., Doerr, B., Eiben, G., Epitropakis, M. G., Fonseca, C. M., Guerreiro, A., Haasdijk, E., Heinerman, J., Hubert, J., Lehre, P. Kristian, Malagò, L., Merelo, J. J., Miller, J., Naujoks, B., Oliveto, P., Picek, S., Pillay, N., Preuss, M., Ryser-Welch, P., Squillero, G., Stork, J., Sudholt, D., Tonda, A., Whitley, D., and Zaefferer, M., “Tutorials at PPSN 2016”, in Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings, J. Handl, Hart, E., Lewis, P. R., López-Ibáñez, M., Ochoa, G., and Paechter, B., Eds. Cham: Springer International Publishing, 2016, pp. 1012–1022. (175.7 KB)
C. Doerr, Bredeche, N., Alba, E., Bartz-Beielstein, T., Brockhoff, D., Doerr, B., Eiben, G., Epitropakis, M. G., Fonseca, C. M., Guerreiro, A., Haasdijk, E., Heinerman, J., Hubert, J., Lehre, P. Kristian, Malagò, L., Merelo, J. J., Miller, J., Naujoks, B., Oliveto, P., Picek, S., Pillay, N., Preuss, M., Ryser-Welch, P., Squillero, G., Stork, J., Sudholt, D., Tonda, A., Whitley, D., and Zaefferer, M., “Tutorials at PPSN 2016”, in Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings, J. Handl, Hart, E., Lewis, P. R., López-Ibáñez, M., Ochoa, G., and Paechter, B., Eds. Cham: Springer International Publishing, 2016, pp. 1012–1022. (175.7 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, Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P., and Vrahatis, M. N., “Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting”, in Artificial Intelligence: Theories and Applications, vol. 7297, I. Maglogiannis, Plagianakos, V. P., and Vlahavas, I., Eds. Springer Berlin / Heidelberg, 2012, pp. 214-222. (134.88 KB)
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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)
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)
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)
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)
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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)
Z. A. Kocsis, Neumann, G., Swan, J., Epitropakis, M. G., Brownlee, A. E. I., Haraldsson, S. O., and Bowles, E., “Repairing and Optimizing Hadoop hashCode Implementations”, in Search-Based Software Engineering: 6th International Symposium, SSBSE 2014, Fortaleza, Brazil, August 26-29, 2014. Proceedings, C. Le Goues and Yoo, S., Eds. Cham: Springer International Publishing, 2014, pp. 259–264.
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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.
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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)
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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. 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)
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M. A. Kaliakatsos–Papakostas, Epitropakis, M. G., Floros, A., and Vrahatis, M. N., “Interactive Evolution of 8–Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound”, in Evolutionary and Biologically Inspired Music, Sound, Art and Design, vol. 7247, P. Machado, Romero, J., and Carballal, A., Eds. Springer Berlin / Heidelberg, 2012, pp. 141-152. (319.12 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.
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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., “Hardware-Friendly Higher-Order Neural Network Training Using Distributed Evolutionary Algorithms”, Applied Soft Computing, vol. 10, pp. 398-408, 2010. (280.11 KB)
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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)
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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. A. Kaliakatsos-Papakostas, Epitropakis, M. G., and Vrahatis, M. N., “Feature Extraction Using Pitch Class Profile Information Entropy”, in Mathematics and Computation in Music, vol. 6726, C. Agon, Andreatta, M., Assayag, G., Amiot, E., Bresson, J., and Mandereau, J., Eds. Springer Berlin / Heidelberg, 2011, pp. 354-357. (1.34 MB)
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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., “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)

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