Hybrid GA-BF based intelligent PID controller tuning for AVR system

被引：69

作者：

Kim, Dong Hwa ^{[1
]}

机构：

[1] Hanbat Natl Univ, Dept Instrumentat & Control Eng, Taejon 305719, South Korea

来源：

APPLIED SOFT COMPUTING | 2011年 / 11卷 / 01期

关键词：

Genetic Algorithm; Bacterial Foraging optimization; Hybrid system; Optimal algorithm; EVOLUTIONARY ALGORITHMS; IDENTIFICATION; OPTIMIZATION; STRATEGY;

D O I：

10.1016/j.asoc.2009.01.004

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 deals with hybrid system (GA-BF) based on the conventional GA (Genetic Algorithm) and BF (Bacterial Foraging) which is the social foraging behavior of bacteria. A variety of test function is introduced and simulated to illustrate the characteristics and performance by mutation, crossover, variation of step size, variation of chemotactic step, and variation of lifetime of bacteria in the proposed hybrid system GA-BF. The simulated results represent that the proposed method is highly satisfactory. This approach provides us with novel hybrid model based on foraging behavior and also with a possible new connection between evolutionary forces in social foraging and distributed nongradient optimization algorithm design for global optimization over noisy surfaces. (c) 2010 Published by Elsevier B.V.

引用

页码：11 / 22

页数：12

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