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Conference Paper

N. G. Pavlidis, Pavlidis, E. G., Epitropakis, M. G., Plagianakos, V. P., and Vrahatis, M. N., “Computational Intelligence Algorithms For Risk-Adjusted Trading Strategies”, in IEEE Congress on Evolutionary Computation, 2007. CEC 2007, Singapore, 2007.

(228.21 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)

Book Chapter

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 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)

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.

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. 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)

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.

Pages

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