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dc.contributor.authorDemirhan, M
dc.contributor.authorÖzdamar, Linet
dc.contributor.authorHelvacıoğlu, L
dc.contributor.authorBirbil, SI
dc.date.accessioned2014-11-05T11:57:38Z
dc.date.available2014-11-05T11:57:38Z
dc.date.issued1999-06
dc.identifier.issn0925-5001
dc.identifier.urihttp://hdl.handle.net/11413/810
dc.description.abstractWe propose a new metaheuristic, FRACTOP, for global optimization. FRACTOP is based on the geometric partitioning of the feasible region so that search metaheuristics such as Simulated Annealing (SA), or Genetic Algorithms (GA) which are activated in smaller subregions, have increased reliability in locating the global optimum. FRACTOP is able to incorporate any search heuristic devised for global optimization. The main contribution of FRACTOP is that it provides an intelligent guidance (through fuzzy measures) in locating the subregion containing the global optimum solution for the search heuristics imbedded in it. By executing the search in nonoverlapping subregions, FRACTOP eliminates the repetitive visits of the search heuristics to the same local area and furthermore, it becomes amenable for parallel processing. As FRACTOP conducts the search deeper into smaller subregions, many unpromising subregions are discarded from the feasible region. Thus, the initial feasible region gains a fractal structure with many space gaps which economizes on computation time. Computational experiments with FRACTOP indicate that the metaheuristic improves significantly the results obtained by random search (RS), SA and GA.tr_TR
dc.language.isoen_UStr_TR
dc.publisherKLUWER ACADEMIC PUBL, SPUIBOULEVARD 50, PO BOX 17, 3300 AA DORDRECHT, NETHERLANDStr_TR
dc.relationJOURNAL OF GLOBAL OPTIMIZATIONtr_TR
dc.subjectFRACTOPtr_TR
dc.subjectGeometric Partitioningtr_TR
dc.subjectFuzzy Measurestr_TR
dc.subjectGeometrik Bölümlemetr_TR
dc.subjectBulanık Önlemlertr_TR
dc.titleFRACTOP: A Geometric Partitioning Metaheuristic for Global Optimizationtr_TR
dc.typeArticletr_TR
dc.identifier.wos81843900005
dc.identifier.scopus2-s2.0-0342360331


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