Circuit Design Based on Particle Swarm Optimization Algorithms

被引：1

作者：

Yan Xuesong ^{[1
]}

Wu Qinghua ^{[2
]}

Hu Chengyu ^{[1
]}

Liang Qingzhong ^{[1
]}

机构：

[1] China Univ Geosci Wuhan, Sch Comp Sci, Wuhan, Peoples R China

[2] Wuhan Univ Technol, Fac Comp Sci Engn, Wuhan, Peoples R China

来源：

ADVANCED MATERIALS AND COMPUTER SCIENCE, PTS 1-3 | 2011年 / 474-476卷

关键词：

Circuit design; electronic circuit; particle swarm optimization algorithms;

D O I：

10.4028/www.scientific.net/KEM.474-476.1093

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This work investigates the application of Particle Swarm Optimization (PSO) algorithms in the field of evolutionary electronics. PSO was developed under the inspiration of behavior laws of bird flocks, fish schools and human communities. PSO achieves its optimum solution by starting from a group of random solution and then searching repeatedly. We propose the new means for designing electronic circuits and introduce the modified PSO algorithm. For the case studies this means has proved to be efficient, experiments show that we have better results.

引用

页码：1093 / +

页数：2

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