Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/1544
Title: EPSO: Evolutionary Particle Swarms
Authors: Vladimiro Miranda
Hrvoje Keko
Alvaro Duque
Issue Date: 2007
Abstract: This chapter presents EPSO (Evolutionary Particle Swarm Optimization), as an evolutionary meta-heuristic that implements a scheme of self-adaptive recombination, borrowing the movement rule from PSO (Particle Swarm Optimization). Besides the basic model, it discusses a Stochastic Star topology for the communication among particles and presents a variant called differential EPSO or dEPSO. The chapter presents results in a didactic Unit Commitment/Generator Scheduling Power System problem and results of a competition among algorithms in an intelligent agent platform for Energy Re-tail Market simulation where EPSO comes out as the winner algorithm
URI: http://repositorio.inesctec.pt/handle/123456789/1544
metadata.dc.type: bookPart
Publication
Appears in Collections:CPES - Book Chapters

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