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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)

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 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., “Evolutionary Algorithm Training of Higher-Order Neural Networks”, in Artificial Higher Order Neural Networks for Computer Science and Engineering: Tends for Emerging Applications, M. Zhang, Ed. IGI Global, 2009.

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)

M. G. Epitropakis, Plagianakos, V. P., and Vrahatis, M. N., “Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm”, in IEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence), Hong Kong, 2008.

(686.81 KB)

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., “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., “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, 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)

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, 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)

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, 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, 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, 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., “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, 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.

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., “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., “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., 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)

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. 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., “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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