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A standard benchmarking suite for structural optimization algorithms: ISCSO 2016-2022

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dc.contributor.authorKazemzadeh Azad, Sina
dc.contributor.authorKazemzadeh Azad, Saeid
dc.date.accessioned2023-12-11T12:29:30Z
dc.date.available2023-12-11T12:29:30Z
dc.date.issued2023-12
dc.descriptionPublished by Structures, https://doi.org/10.1016/j.istruc.2023.105409, Saeid Kazemzadeh Azad, Department of Civil Engineering, Atilim University, Ankara, Turkey, Sina Kazemzadeh Azad, School of Civil Engineering, The University of Sydney, Sydney, NSW 2006, Australia.
dc.description.abstractBenchmarking is an essential part of developing efficient structural optimization techniques. Despite the advent of numerous metaheuristic techniques for solving truss optimization problems, benchmarking new algorithms is often carried out using a selection of classic test examples which are indeed unchallenging for contemporary sophisticated optimization algorithms. Furthermore, the limited optimization results available in the literature on new test examples are usually not accurately comparable. This is typically due to the lack of infromation about the performance of the investigated algorithms and the inconsistencies between the studies in terms of adopted test examples for benchmarking, optimization problem formulation, maximum number of objective function evaluations and other similar issues. Accordingly, there exists a need for developing new standard test suites composed of easily reproducible challenging test examples with rigorous and comparable performance evaluation results of algorithms on these test suites. To this end, the present work aims to propose a new baseline for benchmarking structural optimization algorithms, using a set of challenging sizing and shape optimization problems of truss structures selected from the international student competition in structural optimization (ISCSO) instances. The most recent six structural optimization examples from the ISCSO are tackled using a representative metaheuristic structural optimization algorithm. The statistical results of all the optimization runs using the proposed benchmarking suite are provided to pave the way for more rigorous benchmarking of structural optimization algorithms.
dc.identifier.citationhttp://hdl.handle.net/20.500.14411/1870
dc.identifier.issn2352-0124
dc.identifier.urihttps://doi.org/10.1016/j.istruc.2023.105409
dc.language.isoen
dc.publisherStructures
dc.relation.ispartofseries58
dc.subjectStructural optimization; benchmarking suite; metaheuristic algorithms; steel trusses; sizing optimization; shape optimization
dc.titleA standard benchmarking suite for structural optimization algorithms: ISCSO 2016-2022
dc.typeArticle
dspace.entity.typeArticle

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