2006Journal of Chongqing Institute of TechnologyRequires access

Research on the Prospect of Particle Swarm Optimization Algorithm

Bo Gao

Open publisher page 2 citations

Abstract

Particle Swarm Optimization Algorithm is a stochastic optimization technique based on swarm intelligence.It has the advantages of easy realization,few parameters to be adjusted,and better ability of global optimization.This paper exptiates basic algorithm,improved algorithms,application fields.

About this research paper

What this paper is about

Particle Swarm Optimization Algorithm is a stochastic optimization technique based on swarm intelligence.It has the advantages of easy realization,few parameters to be adjusted,and better ability of global optimization.This paper exptiates basic algorithm,improved algorithms,application fields.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Particle Swarm Optimization Algorithm is a stochastic optimization technique based on swarm intelligence.It has the advantages of easy realization,few parameters to be adjusted,and better ability of global optimization.This paper exptiates basic algorithm,improved algorithms,application fields.

Key concepts: Multi-swarm optimization, Particle swarm optimization, Realization (probability), Swarm intelligence, Metaheuristic, Mathematical optimization, Meta-optimization, Imperialist competitive algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
Research on the Prospect of Particle Swarm Optimization Algorithm — Research Paper | ScholarLens