Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization Problems

This paper presents an improved particle swarm optimizer (PSO) for solving multimodal optimization problems with problem-specific constraints and mixed variables. The standard PSO is extended by employing a comprehensive learning strategy, different particle updating approaches, and a feasibility-ba...

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Main Authors: Lei Gao, Atekelty Hailu
Format: Article
Language:English
Published: Springer 2010-12-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/2103.pdf
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author Lei Gao
Atekelty Hailu
author_facet Lei Gao
Atekelty Hailu
author_sort Lei Gao
collection DOAJ
description This paper presents an improved particle swarm optimizer (PSO) for solving multimodal optimization problems with problem-specific constraints and mixed variables. The standard PSO is extended by employing a comprehensive learning strategy, different particle updating approaches, and a feasibility-based rule method. The experiment results show the algorithm located the global optima in all tested problems, and even found a better solution than those previously reported in the literature. In some cases, it outperforms other methods in terms of both solution accuracy and computational cost.
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spelling doaj.art-e44800868e304724b8df47c694dadfe62022-12-22T01:56:20ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832010-12-013610.2991/ijcis.2010.3.6.13Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization ProblemsLei GaoAtekelty HailuThis paper presents an improved particle swarm optimizer (PSO) for solving multimodal optimization problems with problem-specific constraints and mixed variables. The standard PSO is extended by employing a comprehensive learning strategy, different particle updating approaches, and a feasibility-based rule method. The experiment results show the algorithm located the global optima in all tested problems, and even found a better solution than those previously reported in the literature. In some cases, it outperforms other methods in terms of both solution accuracy and computational cost.https://www.atlantis-press.com/article/2103.pdfParticle swarm optimizationmixed variablesfeasibility-based rulesconstrained optimizationevolutionary algorithmscomprehensive learning strategy
spellingShingle Lei Gao
Atekelty Hailu
Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization Problems
International Journal of Computational Intelligence Systems
Particle swarm optimization
mixed variables
feasibility-based rules
constrained optimization
evolutionary algorithms
comprehensive learning strategy
title Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization Problems
title_full Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization Problems
title_fullStr Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization Problems
title_full_unstemmed Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization Problems
title_short Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization Problems
title_sort comprehensive learning particle swarm optimizer for constrained mixed variable optimization problems
topic Particle swarm optimization
mixed variables
feasibility-based rules
constrained optimization
evolutionary algorithms
comprehensive learning strategy
url https://www.atlantis-press.com/article/2103.pdf
work_keys_str_mv AT leigao comprehensivelearningparticleswarmoptimizerforconstrainedmixedvariableoptimizationproblems
AT atekeltyhailu comprehensivelearningparticleswarmoptimizerforconstrainedmixedvariableoptimizationproblems