HawkFish Optimization Algorithm: A Gender-Bending Approach for Solving Complex Optimization Problems

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dc.contributor.authorAlkharsan, Ali
dc.contributor.authorAta, Oğuz
dc.date.accessioned2025-05-05T06:01:58Z
dc.date.available2025-05-05T06:01:58Z
dc.date.issued2025
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalı
dc.description.abstractInspired by the gender transition behavior seen in hawkfish, this paper introduces the HawkFish optimization algorithm, a nature-inspired optimization technique modeled on the unique gender transition behavior of hawkfish. By leveraging this biological phenomenon, the proposed method addresses optimization problems through dual fitness functions, combining an original and inverse fitness function to drive search space exploration while avoiding local minima. The algorithm’s performance is rigorously evaluated against benchmark problems, including the CEC/GECCO 2019 suite, and applied to real-world engineering challenges like welded beam and tension/compression spring design. The proposed method consistently outperforms existing algorithms in terms of convergence rate, accuracy, and solution quality. The results underscore the algorithm’s efficiency in exploring unknown search spaces and solving complex optimization tasks, making it a promising tool for various domains requiring high precision and optimization efficiency.
dc.identifier.citationAlkharsan, A., & Ata, O. (2025). HawkFish Optimization Algorithm: A Gender-Bending Approach for Solving Complex Optimization Problems. Electronics, 14(3), 611.
dc.identifier.doi10.3390/electronics14030611
dc.identifier.issn2079-9292
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85217544515
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5736
dc.identifier.volume14
dc.identifier.wosWOS:001418524000001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.institutionauthorAlkharsan, Ali
dc.institutionauthorAta, Oğuz
dc.institutionauthorid0000-0002-6150-4742
dc.institutionauthorid0000-0003-4511-7694
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.relation.ispartofElectronics (Switzerland)
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Öğrenci
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCEC/GECCO 2019
dc.subjectHawkFish algorithm
dc.subjectmetaheuristics
dc.subjectoptimization
dc.subjectTCS design problem
dc.subjectwelded beam design
dc.titleHawkFish Optimization Algorithm: A Gender-Bending Approach for Solving Complex Optimization Problems
dc.typeArticle

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