Solving time-dependent heat conduction problems using metaheuristic algorithms extended with a novel local search strategy

dc.authoridTurgut, Oguz Emrah / 0000-0003-3556-8889
dc.authorscopusid57200158463
dc.contributor.authorTurgut, Oğuz Emrah
dc.date.accessioned2022-02-15T16:58:47Z
dc.date.available2022-02-15T16:58:47Z
dc.date.issued2021
dc.departmentBakırçay Üniversitesien_US
dc.description.abstractThis study proposes a novel and dexterous local search scheme for improving the exploitation phase of a generic metaheuristic algorithm. The proposed local search considers a twofold probing mechanism, which takes advantage of a chaotic number generated by the hybrid chaotic map composed of Logistic map and Kent map to move around the so-far-obtained global best solutions to reach feasible candidate solutions. Also, an iterative local search scheme inspired by a variant of the differential evolution algorithm is incorporated into the proposed manipulation scheme to enhance intensification on the promising regions. The proposed scheme is included in the well-reputed metaheuristics of differential evolution, crow search, whale optimization, and sine-cosine algorithms to assess the resulting improvements made on the optimization accuracy. Forty optimization benchmark functions composed of unimodal and multimodal test problems have been solved by the local search improved and basic forms of these optimizers to identify the amelioration in terms of solution accuracy and robustness. Two different real-world constrained optimization problems have been solved by these algorithms to analyze the improvement in solution qualities maintained by the utilization of the proposed local search method. Furthermore, these mentioned optimization algorithms along with their improved forms have been applied to one-dimensional transient heat conduction problems to obtain accurate temperature distribution across the heat transfer medium. Optimization results reveal that utilizing local search enhanced metaheuristic algorithms can be considered a favorable alternative to conventional solution methods for solving transient heat conduction problems.en_US
dc.identifier.doi10.1007/s42452-020-04065-3
dc.identifier.issn2523-3963
dc.identifier.issn2523-3971
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85100768669en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1007/s42452-020-04065-3
dc.identifier.urihttps://hdl.handle.net/20.500.14034/465
dc.identifier.volume3en_US
dc.identifier.wosWOS:000608199900007en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTurgut, Oğuz Emrah
dc.language.isoenen_US
dc.publisherSpringer Int Publ Agen_US
dc.relation.journalSn Applied Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLocal searchen_US
dc.subjectHeat conductionen_US
dc.subjectMetaheuristicsen_US
dc.subjectCrow searchen_US
dc.subjectDifferential Evolutionen_US
dc.subjectGlobal Optimizationen_US
dc.titleSolving time-dependent heat conduction problems using metaheuristic algorithms extended with a novel local search strategyen_US
dc.typeArticleen_US

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