文件名称:v27-83
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2012-11-26
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- 443kb
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- pa***
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Recently, genetic algorithms (GA) and particle swarm
optimization (PSO) technique have attracted considerable attention
among various modern heuristic optimization techniques. Since the
two approaches are supposed to find a solution to a given objective
function but employ different strategies and computational effort, it
is appropriate to compare their performance. This paper presents the
application and performance comparison of PSO and GA
optimization techniques, for Thyristor Controlled Series
Compensator (TCSC)-based controller design.
optimization (PSO) technique have attracted considerable attention
among various modern heuristic optimization techniques. Since the
two approaches are supposed to find a solution to a given objective
function but employ different strategies and computational effort, it
is appropriate to compare their performance. This paper presents the
application and performance comparison of PSO and GA
optimization techniques, for Thyristor Controlled Series
Compensator (TCSC)-based controller design.
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v27-83.pdf