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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Format: | Article |
Language: | English |
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Springer
2010-12-01
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Series: | International Journal of Computational Intelligence Systems |
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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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format | Article |
id | doaj.art-e44800868e304724b8df47c694dadfe6 |
institution | Directory Open Access Journal |
issn | 1875-6883 |
language | English |
last_indexed | 2024-12-10T08:21:45Z |
publishDate | 2010-12-01 |
publisher | Springer |
record_format | Article |
series | International Journal of Computational Intelligence Systems |
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 |