EPSO: Evolutionary Particle Swarms
EPSO: Evolutionary Particle Swarms
| dc.contributor.author | Vladimiro Miranda | en |
| dc.contributor.author | Hrvoje Keko | en |
| dc.contributor.author | Alvaro Duque | en |
| dc.date.accessioned | 2017-11-16T12:30:17Z | |
| dc.date.available | 2017-11-16T12:30:17Z | |
| dc.date.issued | 2007 | en |
| dc.description.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 | en |
| dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/1544 | |
| dc.language | eng | en |
| dc.relation | 208 | en |
| dc.relation | 4811 | en |
| dc.rights | info:eu-repo/semantics/openAccess | en |
| dc.title | EPSO: Evolutionary Particle Swarms | en |
| dc.type | bookPart | en |
| dc.type | Publication | en |