EPSO: Evolutionary Particle Swarms

• Type: Chapter or Part of a Book
• Date: 2007

Authors

V. Miranda (Author) FEUP; Hrvoje Keko (Author) FEUP; Alvaro Jaramillo (Author) Other

Book

Title: Advances in Evolutionary Computing for System Design

Pages: 139-167

ISBN: 978-3-540-72377-6

Publisher: Springer

Indexing

Scopus - 38 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-005-4MW

DOI: 10.1007/978-3-540-72377-6_6

Abstract (EN): 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 Retail Market simulation where EPSO comes out as the winner algorithm.

Language: English

Type (Professor's evaluation): Scientific