Particle Swarm Optimization: A Survey

被引：0
|
作者：
Neware, Shubhangi [1 ]
机构：
[1] Shri Ramdeobaba Coll Engn & Management, Dept Comp Sci & Engn, Nagpur, Maharashtra, India
来源：
INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION | 2022年 / 14卷 / 02期
关键词：
Particle Swarm Optimization (PSO); Genetic Algorithm (GA); glb_best; per_best;
D O I：
10.9756/INT-JECSE/V14I2.291
中图分类号：
G76 [特殊教育];
学科分类号：
040109 ;
摘要：
The particle swarm optimization (PSO) algorithm popularity has been increased in the last Jew years. PSO is relatively simple and reported good results in continuous optimization problems. This paper presents concepts of PSO along with mathematical model and advances in research work using PSO. Also comparison of PSO with other evolutionary algorithms such as Genetic algorithm is also presented.Applications of PSO in different domain are also presented.
引用
收藏
页码：2994 / 2998
页数：5
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