Design of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems

In the recent years, studies of structural engineering design problems are of keen interest among the researchers including engineers and algorithm developers. This article attempts to design an efficient hybridized algorithm for solving structural engineering design optimization problems. In this a...

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Autores principales:	Nirmal Kumar, Sanat Kumar Mahato, Asoke Kumar Bhunia
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Constraint handling technique AGQPSO Cuckoo search (CS) algorithm ECS-AGQPSO Engineering design problems Applied mathematics. Quantitative methods T57-57.97
Acceso en línea:	https://doaj.org/article/03f2658b4f504ae2a4677b0b1f094f16
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spelling	oai:doaj.org-article:03f2658b4f504ae2a4677b0b1f094f162021-12-04T04:36:24ZDesign of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems2666-720710.1016/j.rico.2021.100064https://doaj.org/article/03f2658b4f504ae2a4677b0b1f094f162021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666720721000370https://doaj.org/toc/2666-7207In the recent years, studies of structural engineering design problems are of keen interest among the researchers including engineers and algorithm developers. This article attempts to design an efficient hybridized algorithm for solving structural engineering design optimization problems. In this algorithm, after imposing some modifications on cuckoo search algorithm, the whole swarm or population is partitioned into two groups and then these are upgraded by the embedded cuckoo search (ECS) and a variant of PSO (AGQPSO) algorithms. After combining these two upgraded swarms, a deletion strategy of CS is applied with certain effective modifications. The performance of this hybridized algorithm is tested by considering six structural engineering design problems reported by several researchers and the errors made by some of them are pointed out. Finally, a comparison of the best found results and statistical analyses of this crossbred algorithm are performed with the same of existing algorithms available in the literature and it is shown that the presented algorithm performs better in almost all aspects. Also, to establish the efficiency of the proposed algorithm, convergence graphs and statistical tests are provided.Nirmal KumarSanat Kumar MahatoAsoke Kumar BhuniaElsevierarticleConstraint handling techniqueAGQPSOCuckoo search (CS) algorithmECS-AGQPSOEngineering design problemsApplied mathematics. Quantitative methodsT57-57.97ENResults in Control and Optimization, Vol 5, Iss , Pp 100064- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Constraint handling technique AGQPSO Cuckoo search (CS) algorithm ECS-AGQPSO Engineering design problems Applied mathematics. Quantitative methods T57-57.97
spellingShingle	Constraint handling technique AGQPSO Cuckoo search (CS) algorithm ECS-AGQPSO Engineering design problems Applied mathematics. Quantitative methods T57-57.97 Nirmal Kumar Sanat Kumar Mahato Asoke Kumar Bhunia Design of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems
description	In the recent years, studies of structural engineering design problems are of keen interest among the researchers including engineers and algorithm developers. This article attempts to design an efficient hybridized algorithm for solving structural engineering design optimization problems. In this algorithm, after imposing some modifications on cuckoo search algorithm, the whole swarm or population is partitioned into two groups and then these are upgraded by the embedded cuckoo search (ECS) and a variant of PSO (AGQPSO) algorithms. After combining these two upgraded swarms, a deletion strategy of CS is applied with certain effective modifications. The performance of this hybridized algorithm is tested by considering six structural engineering design problems reported by several researchers and the errors made by some of them are pointed out. Finally, a comparison of the best found results and statistical analyses of this crossbred algorithm are performed with the same of existing algorithms available in the literature and it is shown that the presented algorithm performs better in almost all aspects. Also, to establish the efficiency of the proposed algorithm, convergence graphs and statistical tests are provided.
format	article
author	Nirmal Kumar Sanat Kumar Mahato Asoke Kumar Bhunia
author_facet	Nirmal Kumar Sanat Kumar Mahato Asoke Kumar Bhunia
author_sort	Nirmal Kumar
title	Design of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems
title_short	Design of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems
title_full	Design of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems
title_fullStr	Design of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems
title_full_unstemmed	Design of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems
title_sort	design of an efficient hybridized cs-pso algorithm and its applications for solving constrained and bound constrained structural engineering design problems
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/03f2658b4f504ae2a4677b0b1f094f16
work_keys_str_mv	AT nirmalkumar designofanefficienthybridizedcspsoalgorithmanditsapplicationsforsolvingconstrainedandboundconstrainedstructuralengineeringdesignproblems AT sanatkumarmahato designofanefficienthybridizedcspsoalgorithmanditsapplicationsforsolvingconstrainedandboundconstrainedstructuralengineeringdesignproblems AT asokekumarbhunia designofanefficienthybridizedcspsoalgorithmanditsapplicationsforsolvingconstrainedandboundconstrainedstructuralengineeringdesignproblems
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Design of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems

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