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oai:munzur-rdlopen.rawdatalibrary.net:munzur/45722026-10-28T15:49:39Zopenairecom_munzur_1col_munzur_2

Uniform Big Bang-Chaotic Big Crunch optimizationAlatas, BilalBig Bang-Big Crunch optimizationChaosMetaheuristic optimizationSoft computingUniform populationThis study proposes methods to improve the convergence of the novel optimization method, Big Bang-Big Crunch (BB-BC). Uniform population method has been used to generate uniformly distributed random points in the Big Bang phase. Chaos has been utilized to rapidly shrink those points to a single representative point via a center of mass in the Big Crunch phase. The proposed algorithm has been named as Uniform Big Bang-Chaotic Big Crunch (UBB-CBC). The performance of the UBB-CBC optimization algorithm demonstrates superiority over the BB-BC optimization for the benchmark functions. (C) 2010 Elsevier B.V. All rights reserved.ELSEVIER2011-09Articlehttps://rdlopen.rawdatalibrary.net/r/munzur/4572https://doi.org/10.1016/j.cnsns.2010.12.0251007-5704enCOMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATIONinfo:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/articlehttps://munzur-rdlopen.rawdatalibrary.net/tr/items/munzur/4572