Comparing nonlinear inertia weights and constriction factors in particle swarm optimization

被引：25

作者：

Tuppadung, Yutthapong ^{[1
]}

Kurutach, Werasak ^{[1
]}

机构：

[1] Nakhonratchasima Coll, Fac Informat Sci, Nakhon Ratchasima 30000, Thailand

来源：

INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS | 2011年 / 15卷 / 02期

关键词：

Nonlinear inertia weight; particle swarm optimization; constriction factor; PSO; nonlinear decreasing inertia weight;

D O I：

10.3233/KES-2010-0211

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we empirically study the performance of particle swarm optimization (PSO) using a nonlinear inertia weight compared with the performance using a constriction factor. Adjusting the parameters of nonlinear inertia weight directly affects the performance of PSO. Five benchmark functions are used for evaluation. Under all testing functions, the PSO with nonlinear inertia weights consistently converges faster than the PSO with constriction factors.

引用

页码：65 / 70

页数：6

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