Performance Analysis of Clustering Based Genetic Algorithm

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dc.contributor.authorNajeeb, Athaur R.
dc.contributor.authorAibinu, A. M.
dc.contributor.authorNwohu, M. N.
dc.contributor.authorSalami, Momoh-Jimoh E.
dc.contributor.authorSalau, Bello H.
dc.date.accessioned2019-11-05T14:59:44Z
dc.date.available2019-11-05T14:59:44Z
dc.date.issued2016-07-26
dc.description.abstractIn this work, performance analysis of Clustering based Genetic Algorithm (CGA) proposed in the literature has been undertaken. The proposed CGA on which the performance analysis of this paper is based involve the use of two centroids based clustering technique as a new method of chromosomes selection at the reproduction stage in a typical Genetic Algorithm. Population Control and Polygamy mating techniques were introduced to improve the performance of the algorithm. Results obtained from the determination of optimal solutions to the: Sphere, Schwefel 2.4, Beale and another known optimization functions carried out in this work shows that the proposed CGA converges to global solutions within few iterations and can also be adopted for function optimization aside from the route optimization problem previously reported in Literature.en_US
dc.identifier.citationNajeeb, A. R., Aibinu, A. M., Nwohu, M. N., Salami, M. J. E., & Salau, H. B. (2016, July). Performance analysis of clustering based genetic algorithm. In 2016 International Conference on Computer and Communication Engineering (ICCCE) (pp. 327-331). IEEE.en_US
dc.identifier.uri10.1109/ICCCE.2016.76
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/632
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectSociologyen_US
dc.subjectStatisticsen_US
dc.subjectGenetic algorithmsen_US
dc.subjectBiological cellsen_US
dc.subjectOptimizationen_US
dc.subjectAlgorithm design and analysisen_US
dc.subjectWheels Clusteringen_US
dc.subjectEvolutionary Algorithmen_US
dc.subjectFunction Optimizationen_US
dc.titlePerformance Analysis of Clustering Based Genetic Algorithmen_US
dc.typeArticleen_US
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