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dc.contributor.authorDemirhan, Melek
dc.contributor.authorÖzdamar, Linet
dc.date.accessioned2014-11-05T11:36:27Z
dc.date.available2014-11-05T11:36:27Z
dc.date.issued1999-08
dc.identifier.issn1063-6706
dc.identifier.urihttp://hdl.handle.net/11413/808
dc.description.abstractIn global optimization, adaptive partitioning algorithms (APA) operate on the basis of partitioning the feasible region into subregions, sampling and evaluating each subregion, and selecting one or more subregions for repartitioning, The purpose of the repartitioning process is to locate a narrow neighborhood around the global optimum. In this correspondence, He propose to use a fuzzy approach in the assessment of subregions using random samples taken from these subregions. We discuss different types of uncertainties involved in APA and ne conclude that the use of a fuzzy approach in the assessment of subregions is in concurrence with APA's convergence property, We provide numerical results for the fuzzy approach on 13 test functions from the literature.tr_TR
dc.language.isoen_UStr_TR
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USAtr_TR
dc.relationIEEE TRANSACTIONS ON FUZZY SYSTEMStr_TR
dc.subjectSoftwaretr_TR
dc.subjectfuzzy uncertaintytr_TR
dc.subjectglobal optimizationtr_TR
dc.subjectprobabilistic uncertaintytr_TR
dc.subjectadaptive partitioning algorithmstr_TR
dc.subjectyazılımtr_TR
dc.subjectbulanık belirsizliktr_TR
dc.subjectglobal optimizasyontr_TR
dc.subjectolasılıklı belirsizliktr_TR
dc.subjectadaptif bölümleme algoritmalarıtr_TR
dc.titleA Note On the Use of a Fuzzy Approach in Adaptive Partitioning Algorithms for Global Optimizationtr_TR
dc.typeArticletr_TR


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