Incremental Population for Particle Swarm Optimization

被引：0

作者：

Xu, Xiaohua ^{[1
]}

Pan, Zhoujin ^{[1
]}

Lu, Lin ^{[1
]}

Xi, Yanqiu ^{[1
]}

Chen, Ling ^{[1
]}

机构：

[1] Yangzhou Univ, Dept Comp Sci, Yangzhou 225009, Jiangsu, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION ENGINEERING (ICFIE 2011) | 2011年 / 8卷

基金：

中国国家自然科学基金; 国家高技术研究发展计划(863计划);

关键词：

PSO algorithm; particle size; logistic model; computational cost;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

By simulating the population increment in the human evolution, a PSO algorithm with increment of particle size (IPPSO) was proposed. Without changing the PSO operations, IPPSO can obtain better solutions with less time cost by modifying the structure of traditional PSO. Experimental results show that IPPSO using logistic model population size is more efficient and requires less computation time than using linear function in solving more complex program problems.

引用

页码：230 / 237

页数：8

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