Towards the Natural Optimization with Particle Swarm Optimization.


Autoria(s): Mingo López, Fernando de; Arteta Albert, Alberto; Gómez Blas, Nuria
Data(s)

2012

Resumo

This paper shows the Particle Swarm Optimization algorithm with a Differential Evolution. Each candidate solution is sampled in the interval [?5, 5] D where D indicates the dimension of the search space, and the evolution is performed with a classical PSO algorithm and a classical DE/x/1 algorithm according to a random threshold. Moreover, this paper provides concepts to deal with non-linear optimization through the use of PSO.

Formato

application/pdf

Identificador

http://oa.upm.es/15815/

Idioma(s)

eng

Publicador

E.U. de Informática (UPM)

Relação

http://oa.upm.es/15815/1/INVE_MEM_2012_130935.pdf

info:eu-repo/semantics/altIdentifier/doi/10.4156/ijact.vol4.issue 12.1

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/restrictedAccess

Fonte

International Journal of Advancements in Computing Technology, ISSN 2005-8039, 2012, Vol. 4, No. 12

Palavras-Chave #Matemáticas
Tipo

info:eu-repo/semantics/article

Artículo

PeerReviewed