A review of velocity-type PSO variants

This paper presents a review of the particular variants of particle swarm optimization, based on the velocity-type class. The original particle swarm optimization algorithm was developed as an unconstrained optimization technique, which lacks a model that is able to handle constrained optimization p...

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Main Authors: Ivo Sousa-Ferreira, Duarte Sousa
Format: Article
Language:English
Published: SAGE Publishing 2017-03-01
Series:Journal of Algorithms & Computational Technology
Online Access:https://doi.org/10.1177/1748301816665021
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author Ivo Sousa-Ferreira
Duarte Sousa
author_facet Ivo Sousa-Ferreira
Duarte Sousa
author_sort Ivo Sousa-Ferreira
collection DOAJ
description This paper presents a review of the particular variants of particle swarm optimization, based on the velocity-type class. The original particle swarm optimization algorithm was developed as an unconstrained optimization technique, which lacks a model that is able to handle constrained optimization problems. The particle swarm optimization and its inapplicability in constrained optimization problems are solved using the dynamic-objective constraint-handling method. The dynamic-objective constraint-handling method is originally developed for two variants of the basic particle swarm optimization, namely restricted velocity particle swarm optimization and self-adaptive velocity particle swarm optimization. Also on the subject velocity-type class, a review of three other variants is given, specifically: (1) vertical particle swarm optimization; (2) velocity limited particle swarm optimization; and (3) particle swarm optimization with scape velocity. These velocity-type particle swarm optimization variants all have in common a velocity parameter which determines the direction/movements of the particles.
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spelling doaj.art-d222360083454b3ebbfc266b24759da72022-12-22T01:45:13ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30181748-30262017-03-011110.1177/174830181666502110.1177_1748301816665021A review of velocity-type PSO variantsIvo Sousa-FerreiraDuarte SousaThis paper presents a review of the particular variants of particle swarm optimization, based on the velocity-type class. The original particle swarm optimization algorithm was developed as an unconstrained optimization technique, which lacks a model that is able to handle constrained optimization problems. The particle swarm optimization and its inapplicability in constrained optimization problems are solved using the dynamic-objective constraint-handling method. The dynamic-objective constraint-handling method is originally developed for two variants of the basic particle swarm optimization, namely restricted velocity particle swarm optimization and self-adaptive velocity particle swarm optimization. Also on the subject velocity-type class, a review of three other variants is given, specifically: (1) vertical particle swarm optimization; (2) velocity limited particle swarm optimization; and (3) particle swarm optimization with scape velocity. These velocity-type particle swarm optimization variants all have in common a velocity parameter which determines the direction/movements of the particles.https://doi.org/10.1177/1748301816665021
spellingShingle Ivo Sousa-Ferreira
Duarte Sousa
A review of velocity-type PSO variants
Journal of Algorithms & Computational Technology
title A review of velocity-type PSO variants
title_full A review of velocity-type PSO variants
title_fullStr A review of velocity-type PSO variants
title_full_unstemmed A review of velocity-type PSO variants
title_short A review of velocity-type PSO variants
title_sort review of velocity type pso variants
url https://doi.org/10.1177/1748301816665021
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