Performance Comparison of Biology based Metaheuristics Optimization Algorithms using Unimodal and Multimodal Benchmark Functions

dc.contributor.authorbelli, fatma
dc.contributor.authorBingöl, Harun
dc.date.accessioned2025-10-24T18:04:17Z
dc.date.available2025-10-24T18:04:17Z
dc.date.issued2023
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractOptimization is used in almost every aspect of our lives today and makes our lives easier. Optimization is generally studied as classical and heuristic optimization techniques. Classical optimization methods are not effective in real-world engineering problems. These methods, by their nature, require a mathematical model. Metaheuristic optimization methods have started to be used frequently today in the solution of these problems when a mathematical model cannot be created or a solution cannot be produced in an effective time even if it is created. These methods, by their nature, cannot produce effective results in all engineering problems. Therefore, new metaheuristic optimization methods are constantly being researched. In this study, quality test functions have been used to compare the performances of five algorithms that have been developed in recent years and produce effective results. The results obtained from these functions are shared in this study. It has been observed that the Artificial Hummingbird Optimization Algorithm (AHA) gives better results than other metaheuristic algorithms.
dc.identifier.doi10.55525/tjst.1214897
dc.identifier.endpage167
dc.identifier.issn1308-9099
dc.identifier.issue1
dc.identifier.startpage157
dc.identifier.trdizinid1273620
dc.identifier.urihttps://doi.org/10.55525/tjst.1214897
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1273620
dc.identifier.urihttps://hdl.handle.net/20.500.12899/2773
dc.identifier.volume18
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofTurkish Journal of Science & Technology
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzTR-Dizin_20251023
dc.subjectOptimization
dc.subjectartificial intelligence
dc.subjectmetaheuristic optimization
dc.subjectAHA
dc.titlePerformance Comparison of Biology based Metaheuristics Optimization Algorithms using Unimodal and Multimodal Benchmark Functions
dc.typeArticle

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