Particle Swarm Optimization
Details
Serval ID
serval:BIB_A4A8B362B964
Type
A part of a book
Publication sub-type
Chapter: chapter ou part
Collection
Publications
Institution
Title
Particle Swarm Optimization
Title of the book
An Introduction to Metaheuristics for Optimization
Publisher
Springer International Publishing
ISBN
9783319930725
9783319930732
9783319930732
ISSN
1619-7127
Publication state
Published
Issued date
2018
Peer-reviewed
Oui
Pages
97-102
Language
english
Abstract
Inspired by animal behavior, Eberhart and Kennedy [49, 22] proposed in 1995 an optimization method called Particle Swarm Optimization (PSO). In this approach, a swarm of particles simultaneously explore a problem’s search space with the goal of finding the global optimum configuration.
Create date
20/02/2019 11:38
Last modification date
21/08/2019 5:12