A Novel Fuzzy Particle Swarm Optimization Applying Fuzzy Logic Controller on Particles Level

被引：0

作者：

Aminian, Ehsan ^{[1
]}

Teshnehlab, Mohammad ^{[2
]}

机构：

[1] Islamic Azad Univ, Dept Comp Engn, Sci & Res Branch, Tehran, Iran

[2] KN Toosi Univ Technol, Fac Elect Engn, Dept Control Comp, Tehran, Iran

来源：

2013 13TH IRANIAN CONFERENCE ON FUZZY SYSTEMS (IFSC) | 2013年

关键词：

Adaptive Particle swarm optimization; Evolutionary computation; Fuzzy Logic Controller and Social model;

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 this paper, we introduce a novel Fuzzy particle Swarm Optimization method in which the inertia weight as well as the cognitive and social coefficients are adjusted for each particle separately according to the information coming from a Fuzzy Logic Controller. We illustrate the efficiency of our method in comparison with the origin version of inertia Weight Particle Swarm Optimization. Although the curse of dimensionality has always been one of significant weaknesses in Evolutionary Algorithms, we show it has the least influence on the proposed method compared to PSO and original WPSO. We also prove that our method outperforms other Fuzzy-PSO versions by testing two benchmark functions.

引用

页数：6

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