Cricket behaviour-based evolutionary computation technique in solving engineering optimization problems

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dc.authoridKarci, Ali/0000-0002-8489-8617
dc.authoridcanayaz, Murat/0000-0001-8120-5101
dc.authoridCANAYAZ, Murat/0000-0001-8120-5101;
dc.authorwosidKarci, Ali/AAG-5337-2019
dc.authorwosidcanayaz, Murat/AGD-2513-2022
dc.authorwosidCANAYAZ, Murat/AAH-2486-2019
dc.authorwosidKARCI, Ali/A-9604-2019
dc.contributor.authorCanayaz, Murat
dc.contributor.authorKarci, Ali
dc.date.accessioned2024-08-04T20:41:33Z
dc.date.available2024-08-04T20:41:33Z
dc.date.issued2016
dc.departmentİnönü Üniversitesien_US
dc.description.abstractMeta-heuristicalgorithms are widely used in various areas such as engineering, statistics, industrial, image processing, artificial intelligence etc. In this study, the Cricket algorithm which is a novel nature-inspired meta-heuristic algorithm approach which can be used for the solution of some global engineering optimization problems was introduced. This novel approach is a meta-heuristic method that arose from the inspiration of the behaviour of crickets in the nature. It has a structure for the use in the solution of various problems. In the development stage of the algorithm, the good aspects of the Bat, Particle Swarm Optimization and Firefly were experimented for being applied to this algorithm. In addition to this, because of the fact that these insects intercommunicate through sound, the physical principles of sound propagation in the nature were practiced in the algorithm. Thanks to this, the compliance of the algorithm to real life tried to be provided. This new developed approach was applied on the familiar global engineering problems and the obtained results were compared with the results of the algorithm applied to these problems.en_US
dc.identifier.doi10.1007/s10489-015-0706-6
dc.identifier.endpage376en_US
dc.identifier.issn0924-669X
dc.identifier.issn1573-7497
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84959212071en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage362en_US
dc.identifier.urihttps://doi.org/10.1007/s10489-015-0706-6
dc.identifier.urihttps://hdl.handle.net/11616/97195
dc.identifier.volume44en_US
dc.identifier.wosWOS:000371048100009en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofApplied Intelligenceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNature-inspired algorithmen_US
dc.subjectMeta-heuristic algorithmen_US
dc.subjectEvolutionary computationen_US
dc.subjectCricket Algorithmen_US
dc.subjectApplied intelligenceen_US
dc.titleCricket behaviour-based evolutionary computation technique in solving engineering optimization problemsen_US
dc.typeArticleen_US

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