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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)

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.

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)

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