Improving Computational Efficiency of Bat-Inspired Algorithm in Optimal Structural Design

dc.authorid Hasançebi, Oğuzhan/0000-0002-5501-1079
dc.authorscopusid 55924346500
dc.authorscopusid 57193753354
dc.authorwosid Hasançebi, Oğuzhan/HRE-0033-2023
dc.contributor.author Hasanebi, O.
dc.contributor.author Azad, S. Kazemzadeh
dc.contributor.other Department of Civil Engineering
dc.date.accessioned 2024-07-05T14:32:28Z
dc.date.available 2024-07-05T14:32:28Z
dc.date.issued 2015
dc.department Atılım University en_US
dc.department-temp [Hasanebi, O.] Middle E Tech Univ, Dept Civil Engn, TR-06531 Ankara, Turkey; [Azad, S. Kazemzadeh] Atilim Univ, Dept Civil Engn, Ankara, Turkey en_US
dc.description Hasançebi, Oğuzhan/0000-0002-5501-1079 en_US
dc.description.abstract Bat-inspired (BI) algorithm is a recent metaheuristic optimization technique that simulates echolocation behavior of bats in seeking a design space. Along the same line with almost all metaheuristics, this algorithm also entails a large number of time-consuming structural analyses in structural design optimization applications. This study is focused on improving computational efficiency of the BI algorithm in optimum structural design. The number of structural analyses required by BI algorithm in the course of design optimization is reduced considerably by incorporating an upper bound strategy (UBS) into the solution procedure. The performance of the resulting algorithm, i.e. UBS integrated BI algorithm (UBI), is evaluated in discrete sizing optimization of large-scale steel skeletal structures designed for minimum weight according to American Institute of Steel Construction-Allowable Stress Design provisions. The numerical results verify that the UBI results in a significant gain in the computational efficiency of the standard algorithm. en_US
dc.identifier.citationcount 5
dc.identifier.doi 10.1260/1369-4332.18.7.1003
dc.identifier.endpage 1015 en_US
dc.identifier.issn 1369-4332
dc.identifier.issn 2048-4011
dc.identifier.issue 7 en_US
dc.identifier.scopus 2-s2.0-84951130044
dc.identifier.scopusquality Q2
dc.identifier.startpage 1003 en_US
dc.identifier.uri https://doi.org/10.1260/1369-4332.18.7.1003
dc.identifier.uri https://hdl.handle.net/20.500.14411/816
dc.identifier.volume 18 en_US
dc.identifier.wos WOS:000357083100005
dc.identifier.wosquality Q2
dc.institutionauthor Azad, Saeıd Kazemzadeh
dc.language.iso en en_US
dc.publisher Sage Publications inc en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 8
dc.subject structural optimization en_US
dc.subject discrete optimization en_US
dc.subject optimum sizing en_US
dc.subject metaheuristic search techniques en_US
dc.subject bat-inspired algorithm en_US
dc.subject steel structures en_US
dc.title Improving Computational Efficiency of Bat-Inspired Algorithm in Optimal Structural Design en_US
dc.type Article en_US
dc.wos.citedbyCount 6
dspace.entity.type Publication
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relation.isOrgUnitOfPublication.latestForDiscovery 238c4130-e9ea-4b1c-9dea-772c4a0dad39

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