Application on particle swarm optimization algorithms

被引：0

作者：

Wang, YQ ^{[1
]}

Xu, L ^{[1
]}

Wang, JH ^{[1
]}

Gu, SS ^{[1
]}

Yu, XL ^{[1
]}

机构：

[1] Northeastern Univ, Fac Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

PROGRESS IN INTELLIGENCE COMPUTATION & APPLICATIONS | 2005年

关键词：

swarm intelligence; particle swarm optimization; global optimization; local optimization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the review the most recently research results on particle swarm optimization algorithm and its application for combinatorial optimization are overviewed. First we review the original and basic forms of PSO, introducing several enhanced algorithms, followed by summarizing its relevance application in constriction optimization, such as function optimization, neural network training, and fuzzy system control and so on. Several important problems to be solved and future trends in the research of PSO are also discussed.

引用

页码：178 / 183

页数：6

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