Analysis of particle trajectories and monitoring velocity behavior in Particle Swarm Optimization

被引：0

作者：

Kamalapur, Snehal Mohan ^{[1
]}

Patil, Varsha Hemant ^{[2
]}

机构：

[1] Padmashree Dr DY Patil Inst Engn & Technol, Pune, Maharashtra, India

[2] Matoshri Coll Engn & Res Ctr, Nasik, India

来源：

2012 12TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS) | 2012年

关键词：

Particle swarm optimization; Particle Trajectory; Velocity; CONVERGENCE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Particle swarm optimization(PSO) is motivated by the social behavior of individual in a group. The trajectory of the particles in PSO show that a particle catches a wave during the search. This paper analyzes the trajectory of a particle in PSO with and without constricton coefficient The particles follow the path defined by sinusoidal wave while amplitude and frequency are random. The paper considers multidimensional and multi particle swarm The paper provides a derivation of the closed from of PSO with constriction coefficient

引用

页码：149 / 154

页数：6

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