Optimum design of frame structures using the Eagle Strategy with Differential Evolution

Talatahari, S; Gandomi, AH; Yang, XS; Deb, S

Optimum design of frame structures using the Eagle Strategy with Differential Evolution

Talatahari, S Gandomi, AH Yang, XS Deb, S

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Engineering Structures, 2015, 91, pp. 16-25
Issue Date:: 2015-05-05

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Field	Value	Language
dc.contributor.author	Talatahari, S
dc.contributor.author	Gandomi, AH
dc.contributor.author	Yang, XS
dc.contributor.author	Deb, S
dc.date.accessioned	2023-03-28T20:57:07Z
dc.date.available	2023-03-28T20:57:07Z
dc.date.issued	2015-05-05
dc.identifier.citation	Engineering Structures, 2015, 91, pp. 16-25
dc.identifier.issn	0141-0296
dc.identifier.issn	1873-7323
dc.identifier.uri	http://hdl.handle.net/10453/168745
dc.description.abstract	Modern metaheuristic algorithms are in general suited for global optimization. This paper combines the recently developed eagle strategy algorithm with differential evolution. The new algorithm, denoted as the ES-DE, is implemented by interfacing SAP2000 structural analysis code and MATLAB mathematical software. The performance of the ES-DE is evaluated by solving four benchmark problems where the objective is to minimize the weight of steel frames. The optimized designs obtained by the proposed algorithm are better than those found by the standard differential evolution algorithm and also very competitive with literature. The overall convergence behavior is significantly enhanced by the hybrid optimization strategy.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	Engineering Structures
dc.relation.isbasedon	10.1016/j.engstruct.2015.02.026
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 0912 Materials Engineering, 0915 Interdisciplinary Engineering
dc.subject.classification	Civil Engineering
dc.title	Optimum design of frame structures using the Eagle Strategy with Differential Evolution
dc.type	Journal Article
utslib.citation.volume	91
utslib.for	0905 Civil Engineering
utslib.for	0912 Materials Engineering
utslib.for	0915 Interdisciplinary Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-28T20:57:06Z
pubs.publication-status	Published
pubs.volume	91

Abstract:

Modern metaheuristic algorithms are in general suited for global optimization. This paper combines the recently developed eagle strategy algorithm with differential evolution. The new algorithm, denoted as the ES-DE, is implemented by interfacing SAP2000 structural analysis code and MATLAB mathematical software. The performance of the ES-DE is evaluated by solving four benchmark problems where the objective is to minimize the weight of steel frames. The optimized designs obtained by the proposed algorithm are better than those found by the standard differential evolution algorithm and also very competitive with literature. The overall convergence behavior is significantly enhanced by the hybrid optimization strategy.

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http://hdl.handle.net/10453/168745