Testing of a Modified Particle Swarm Optimization Algorithm Using Different Benchmark Functions

被引：0
作者：
Hamdan, Shawkat [1 ]
El Zawawi, Amr [1 ]
机构：
[1] Beirut Arab Univ, Dept Elect Engn, Debbiah, Lebanon
来源：
SOFA 2009: 3RD INTERNATIONAL WORKSHOP ON SOFT COMPUTING APPLICATIONS, PROCEEDINGS | 2009年
关键词：
Particle swarm optimization (PSO); Modified particle swarm optimization (MPSO); benchmark functions;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper presents a new optimization algorithm called modified particle swarm optimization MPSO technique. In order to demonstrate the advantages of this MPSO technique, it is tested using different benchmark functions and the results are compared with those obtained using the classical particle swarm optimization PSO algorithm.
引用
收藏
页码：113 / 116
页数：4
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