Group Intelligent Computing

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Authors: Ruizhuo Song, Qinglai Wei, Qing Li, Shi Bo Xing
Cited by: 0
References: 6

Abstract

Particle swarm optimization (Particle Swarm Optimization, PSO) algorithm is a branch of evolutionary computing, is a random search algorithm to simulate the biological activities of nature, also known as particle swarm algorithm, particle swarm algorithm or particle swarm optimization algorithm. The PSO algorithm is generally considered as a kind of intelligent algorithm, which can also be classified as a multi-agent optimization system (Multiagent Optimization System, MAOS).

Fields of Study & Subjects

Metaheuristic Optimization Algorithms Research Internet of Things and AI Artificial Immune Systems Applications

Publication details

Journal / source
Intelligent Computing
Pages
29–65
Publication date
1 January 2026
Language
EN
Document type
Book chapter