Publications
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Filters: Author is M. G. Epitropakis [Clear All Filters]
“Tracking Differential Evolution Algorithms: An Adaptive Approach through Multinomial Distribution Tracking with Exponential Forgetting”, in Artificial Intelligence: Theories and Applications, vol. 7297, Springer Berlin / Heidelberg, 2012, pp. 214-222. (134.88 KB)
, “Integer Weight Higher-Order Neural Network Training Using Distributed Differential Evolution”, in International Conference of Computational Methods in Sciences and Engineering, Crete, Greece, 2006.
, “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)
, “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)
, “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)
, “Higher-Order Neural Networks Training Using Differential Evolution”, in International Conference of Numerical Analysis and Applied Mathematics, Hersonissos, Crete, Greece, 2006.
, “Root finding and approximation approaches through neural networks”, ACM SIGSAM Bulleting, vol. 39, pp. 118-121, 2005. (123 KB)
, “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)
, “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)
, “Hardware-Friendly Higher-Order Neural Network Training Using Distributed Evolutionary Algorithms”, Applied Soft Computing, vol. 10, pp. 398-408, 2010. (280.11 KB)
, “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)
, “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)
, “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)
, “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)
, “Evolutionary Algorithm Training of Higher-Order Neural Networks”, in Artificial Higher Order Neural Networks for Computer Science and Engineering: Tends for Emerging Applications, IGI Global, 2009.
, “Enhancing Differential Evolution Utilizing Proximity-based Mutation Operators”, IEEE Transactions on Evolutionary Computation, vol. 15, pp. 99-119, 2011. (3.04 MB)
, “Evolutionary Adaptation of the Differential Evolution Control Parameters”, in IEEE Congress on Evolutionary Computation, 2009. CEC 2009, Trondheim, Norway, 2009. (182.16 KB)
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