A Landscape Adaptive Particle Swarm Optimizer

被引：0

作者：

Zhao, Wei ^{[1
]}

Wen, Xiumei ^{[1
]}

机构：

[1] Hebei Inst Architecture Civil Engn, Dept Comp, Zhang Jia Kou, Peoples R China

来源：

ICAIE 2009: PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND EDUCATION, VOLS 1 AND 2 | 2009年

关键词：

particle swarm optimization; inertia weight; global optimization; local convergence;

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：

An adaptive particle swarm optimization (LAPSO) is proposed according to analysis of inertia weight, global convergence and convergent speed as well as accuracy. This novel method is deeply investigated on the basis of three different benchmark functions. The experimental results are compared with those predicted by LWPSO and LKPSO, and show that the current LAPSO is more performance in speed and accuracy convergence. Thereby, LAPSO is a global particle swarm optimization.

引用

页码：288 / 292

页数：5

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