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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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, 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.

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.

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.

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