Differential evolution based global best algorithm: an efficient optimizer for solving constrained and unconstrained optimization problems

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dc.authoridTurgut, Mert Sinan / 0000-0002-5739-2119
dc.authoridTurgut, Oguz Emrah / 0000-0003-3556-8889
dc.authorscopusid56228320400
dc.authorscopusid57200158463
dc.contributor.authorTurgut, Mert Sinan
dc.contributor.authorTurgut, Oğuz Emrah
dc.date.accessioned2022-02-15T16:58:46Z
dc.date.available2022-02-15T16:58:46Z
dc.date.issued2020
dc.departmentBakırçay Üniversitesien_US
dc.description.abstractThis study proposes an optimization method called Global Best Algorithm for successful solution of constrained and unconstrained optimization problems. This propounded method uses the manipulation equations of Differential Evolution, dexterously combines them with some of the perturbation schemes of Differential Search algorithm, and takes advantages of the global best solution obtained on the course of the iterations to benefit the productive and feasible in the search span through which the optimum solution can be easily achieved. A set of 16 optimization benchmark functions is then applied on the proposed algorithm as well as some of the cutting edge optimizers. Comparative study between these methods reveals that GBEST has the ability to achieve more competitive results when compared to other algorithms. Effects of algorithm parameters on optimization accuracy have been benchmarked with some high-dimensional unimodal and multimodal optimization test functions. Five real world design problems accompanied with three challenging test functions have been solved and verified against the literature approaches. Optimal solution obtained for economic dispatch problem also proves the applicability of the proposed method on multidimensional constrained problems with having large solution spaces.en_US
dc.identifier.doi10.1007/s42452-020-2426-8
dc.identifier.issn2523-3963
dc.identifier.issn2523-3971
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85100703773en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1007/s42452-020-2426-8
dc.identifier.urihttps://hdl.handle.net/20.500.14034/462
dc.identifier.volume2en_US
dc.identifier.wosWOS:000532826500088en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing 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.subjectConstrained optimizationen_US
dc.subjectDifferential evolutionen_US
dc.subjectDifferential searchen_US
dc.subjectEconomic dispatch problemen_US
dc.subjectOptimizationen_US
dc.subjectParticle Swarm Optimizationen_US
dc.subjectArtificial Bee Colonyen_US
dc.subjectLearning-Based Optimizationen_US
dc.subjectKrill Herd Algorithmen_US
dc.subjectEconomic-Dispatchen_US
dc.subjectHybrid Algorithmen_US
dc.subjectSearch Algorithmen_US
dc.subjectFirefly Algorithmen_US
dc.subjectExploration/Exploitationen_US
dc.titleDifferential evolution based global best algorithm: an efficient optimizer for solving constrained and unconstrained optimization problemsen_US
dc.typeArticleen_US

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