A comprehensive survey on particle swarm optimization algorithm and its applications
type: Item
instance of: scholarly article
title: A comprehensive survey on particle swarm optimization algorithm and its applications
zbMATH Open document ID: 1394.90588
DOI: 10.1155/2015/931256
author: Yudong Zhang
author: Shuihua Wang
author: Genlin Ji
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by \textit{J. Kennedy} and \textit{R. Eberhart} [``Particle swarm optimization'', in: Proceedings of the international conference on neural networks, ICNN'95, Perth, WA, Australia, 27 Nov.--1 Dec. 1995. Los Alamitos, CA: IEEE Computer Society. 1942--1948 (1995; \url{doi:10.1109/ICNN.1995.488968})]. It is now one of the most commonly used optimization techniques. This survey presented a comprehensive investigation of PSO. On one hand, we provided advances with PSO, including its modifications (including quantum-behaved PSO, bare-bones PSO, chaotic PSO, and fuzzy PSO), population topology (as fully connected, von Neumann, ring, star, random, etc.), hybridization (with genetic algorithm, simulated annealing, Tabu search, artificial immune system, ant colony algorithm, artificial bee colony, differential evolution, harmonic search, and biogeography-based optimization), extensions (to multiobjective, constrained, discrete, and binary optimization), theoretical analysis (parameter selection and tuning, and convergence analysis), and parallel implementation (in multicore, multiprocessor, GPU, and cloud computing forms). On the other hand, we offered a survey on applications of PSO to the following eight fields: electrical and electronic engineering, automation control systems, communication theory, operations research, mechanical engineering, fuel and energy, medicine, chemistry, and biology. It is hoped that this survey would be beneficial for the researchers studying PSO algorithms.
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90-02
zbMATH DE Number: 6927600
Wikidata QID: Q58229097
describes a project that uses: CUDA
describes a project that uses: ABC
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/931256
OpenAlex ID: W1859314164
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description: scientific article; zbMATH DE number 6927600