A modification of gravitational search algorithm with hyper-ellipsoids

dc.contributor.authorGör, İclal
dc.contributor.authorGünel, Korhan
dc.date.accessioned2024-07-12T20:49:35Z
dc.date.available2024-07-12T20:49:35Z
dc.date.issued2019en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractGravitational Search Algorithm (GSA) is one of the popular nature inspired metaheuristic method, using the theory of Newtonian’s law of gravity and motion in physics. Till now, many variants of GSA have been presented in order to solve different kinds of optimization problems. In the current work, we develepod original GSA algorithm using dynamically generated swarm size with mutation operator. For this aim, we generate population inside of and outside of hyper-ellipsoids. Thus, the exploitation and exploration ability of GSA has been improved. We test the performance of proposed approach using some popular benchmark functions including both of low and high dimensional cases. We get the results of proposed approach and original GSA and compare them. According to results, we could say the proposed approach is better alternative for original GSA. Moreover, other population based methods can be improved with this wayen_US
dc.identifier.citationGör, İ. ve Günel, K. (2019). A modification of gravitational search algorithm with hyper-ellipsoids. International Conference of Mathematical Sciences (ICMS 2019). s. 150.en_US
dc.identifier.endpage151en_US
dc.identifier.isbn978-605-2124-29-1
dc.identifier.startpage150en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2188
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciences (ICMS 2019)en_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY01553
dc.subjectMetaheuristicen_US
dc.subjectSwarm intelligenceen_US
dc.subjectGravitational search algorithmen_US
dc.subjectGlobal optimizationen_US
dc.subjectHhyperellipsoiden_US
dc.titleA modification of gravitational search algorithm with hyper-ellipsoidsen_US
dc.typeArticle
dspace.entity.typePublication

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