Genetic algorithms in loading pattern optimization

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dc.contributor.authorYılmazbayhan, Aylin
dc.contributor.authorTombakoğlu, Mehmet
dc.contributor.authorBekar, Kürsat B.
dc.contributor.authorErdemli, A. Özgür
dc.contributor.authorID105199tr_TR
dc.contributor.departmentBölüm Yok
dc.date.accessioned2018-07-05T11:16:47Z
dc.date.available2018-07-05T11:16:47Z
dc.date.issued2000-10
dc.descriptionI. Avrasya Nükleer Bilimler ve Uygulamaları Konferansı : 23-27 Ekim 2000. İzmir, Türkiye.tr_TR
dc.description.abstractGenetic Algorithm (GA) based systems are used for the loading pattern optimization. The use of Genetic Algorithm operators such as regional crossover, crossover and mutation, and selection of initial population size for PWRs are discussed. Antithetic variates are used to generate the initial population. The performance of GA with antithetic variates is compared to traditional GA. The results of multi-cycle optimization are discussed for objective function taking into account cycle bum-up and discharge bum-up.tr_TR
dc.identifier.citationYılmazbayhan, A. ... [ve arkadaşları]., (2000). Genetic algorithms in loading pattern optimization. I. Eurasia Conference on Nuclear Science and Its Application, Presentations, Vol 1, (s. 4-7). 23-27 October 2000. İzmir, Turkey.tr_TR
dc.identifier.endpage141tr_TR
dc.identifier.startpage132tr_TR
dc.identifier.urihttp://kurumsalarsiv.tenmak.gov.tr/handle/20.500.12878/682
dc.language.isoengtr_TR
dc.publisherTurkish Atomic Energy Authoritytr_TR
dc.relation.journalI. Eurasia Conference on Nuclear Science and Its Application : Presentations, 23-27 October 2000. İzmir, Turkey.tr_TR
dc.rightsinfo:eu-repo/semantics/openAccesstr_TR
dc.subjectGenetic algorithmstr_TR
dc.subjectGenetik algoritmalartr_TR
dc.titleGenetic algorithms in loading pattern optimizationtr_TR
dc.typeconferenceObjecttr_TR
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I. Eurasia conference on nuclear science and its application : presentations, 23-27 October 2000. İzmir, Turkey.