Comparison of Current Metaheuristics for Solving Engineering Problems

Basit Öğe Kaydı
dc.contributor.authorTufan, Elif
dc.contributor.authorArslan, Sibel
dc.date.accessioned2025-05-04T16:41:59Z
dc.date.available2025-05-04T16:41:59Z
dc.date.issued2024
dc.departmentSivas Cumhuriyet Üniversitesi
dc.descriptionIEEE SMC; IEEE Turkiye Section
dc.description2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 16 October 2024 through 18 October 2024 -- Ankara -- 204562
dc.description.abstractNowadays, with the increasing number of metaheuristic, different strategies for solving engineering problems have been introduced. In this study, the Crayfish Optimizer Algorithm (COA), Spider Wasp Optimizer (SWO) and Goose Algorithm (Goose) are compared among the current metaheuristics inspired by the unique behaviors and survival functions of different animals in nature. To the best of our knowledge, this is the first study to compare the performance of these algorithms on three popular engineering problems (pressure vessel design, welded beam design and tension-compression design problems). When the experimental results and convergence rates are evaluated, it is observed that all metaheuristics exhibit very high performance. SWO, inspired by the hunting and nesting behavior strategies of spider wasps, is the most successful metaheuristic. SWO is followed by COA, modeled from the natural behavior of crayfish, and Goose, developed by imitating the flocking behavior of goose. The statistical significance of the results was assessed using t-tests, which demonstrate the superiority of SWO. In future studies, it is aimed that other metaheuristics, especially SWO, can be used in solving different engineering problems. © 2024 IEEE.
dc.identifier.doi10.1109/ASYU62119.2024.10757132
dc.identifier.isbn979-835037943-3
dc.identifier.scopus2-s2.0-85213359994
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ASYU62119.2024.10757132
dc.identifier.urihttps://hdl.handle.net/20.500.12418/35020
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250504
dc.subjectCrayfish Optimizer Algorithm
dc.subjectEngineering Design Problems
dc.subjectGoose
dc.subjectMetaheuristics
dc.subjectSpider Wasp Optimizer
dc.titleComparison of Current Metaheuristics for Solving Engineering Problems
dc.typeConference Object

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu