Search Results - "Epitropakis, M G"

Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach by Epitropakis, M.G., Plagianakos, V.P., Vrahatis, M.N.

“…In recent years, the Particle Swarm Optimization has rapidly gained increasing popularity and many variants and hybrid approaches have been proposed to improve…”
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Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators by Epitropakis, M G, Tasoulis, D K, Pavlidis, N G, Plagianakos, V P, Vrahatis, M N

“…Differential evolution is a very popular optimization algorithm and considerable research has been devoted to the development of efficient search operators…”
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Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms by Epitropakis, M.G., Plagianakos, V.P., Vrahatis, M.N.

“…In this paper, we study the class of Higher-Order Neural Networks and especially the Pi-Sigma Networks. The performance of Pi-Sigma Networks is evaluated…”
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Balancing the exploration and exploitation capabilities of the Differential Evolution Algorithm by Epitropakis, M.G., Plagianakos, V.P., Vrahatis, M.N.

“…The hybridization and composition of different Evolutionary Algorithms to improve the quality of the solutions and to accelerate execution is a common research…”
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Multimodal optimization using niching differential evolution with index-based neighborhoods by Epitropakis, M. G., Plagianakos, V. P., Vrahatis, M. N.

“…A new family of Differential Evolution mutation strategies (DE/nrand) that are able to handle multimodal functions, have been recently proposed. The DE/nrand…”
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Tracking Particle Swarm Optimizers: An adaptive approach through multinomial distribution tracking with exponential forgetting by Epitropakis, M. G., Tasoulis, D. K., Pavlidis, N. G., Plagianakos, V. P., Vrahatis, M. N.

“…An active research direction in Particle Swarm Optimization (PSO) is the integration of PSO variants in adaptive, or self-adaptive schemes, in an attempt to…”
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Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution by Epitropakis, M G, Plagianakos, V P, Vrahatis, M N

“…In recent years, the Particle Swarm Optimization has rapidly gained increasing popularity and many variants and hybrid approaches have been proposed to improve…”
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Evolutionary adaptation of the differential evolution control parameters by Epitropakis, M.G., Plagianakos, V.P., Vrahatis, M.N.

“…This papers proposes a novel self-adaptive scheme for the evolution of crucial control parameters in evolutionary algorithms. More specifically, we suggest to…”
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Density based Projection Pursuit Clustering by Tasoulis, S. K., Epitropakis, M. G., Plagianakos, V. P., Tasoulis, D. K.

“…Clustering of high dimensional data is a very important task in Data Mining. In dealing with such data, we typically need to use methods like Principal…”
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Computational intelligence algorithms for risk-adjusted trading strategies by Pavlidis, N.G., Pavlidis, E.G., Epitropakis, M.G., Plagianakos, V.P., Vrahatis, M.N.

“…This paper investigates the performance of trading strategies identified through computational intelligence techniques. We focus on trading rules derived by…”
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