Optimization of Fuzzy Control Systems with Different Variants of Particle Swarm Optimization

被引：0

作者：

Fierro, Resffa ^{[1
]}

Castillo, Oscar ^{[1
]}

Valdez, Fevrier ^{[1
]}

机构：

[1] Tijuana Inst Technol, Tijuana, Mexico

来源：

PROCEEDINGS OF THE 2013 IEEE WORKSHOP ON HYBRID INTELLIGENT MODELS AND APPLICATIONS (HIMA) | 2013年

关键词：

optimization; fuzzy control; Particle swarm optimization variants; water tank; LOGIC;

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：

This paper describes a metaheuristic for Particle Swarm Optimization (PSO) and two of its variants (inertia and the constriction ratio) as an optimization strategy for designing the membership functions of optimal Fuzzy Control Systems specifically for the water tank. Each of the variants has its own advantages within the algorithm because they enable the exploration and exploitation in different ways and this allows us to find the optimum in a better way.

引用

页码：51 / 56

页数：6

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