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oai:munzur-rdlopen.rawdatalibrary.net:munzur/39902026-10-28T14:58:46Zopenairecom_munzur_1col_munzur_2

Comparison of Physics-Based Optimization Algorithms by Using Benchmark FunctionsKiziloluk, SonerÖzer, Ahmet BedriIEEEelectromagnetism-like algorithmbig bang-big crunch algorithmgravitational search algorithmMany of meta-heuristics optimization algorithms which are used to solving optimization problems are inspired from biological evolution, physical, social and chemical processes. Electromagnetism-like Algorithm (EM), Big Bang-Big Crunch Algorithm (BB-BC) and Gravitational Search Algorithm (GSA) are investigated in this study and they are physics-based meta-heuristics techniques. Performances of EM, BB-BC and GSA are compared by using Rastrigin, Rosenbrock and De Jong test functions.IEEE2016Conference Objecthttps://rdlopen.rawdatalibrary.net/r/munzur/3990978-1-5090-1679-2tr2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU)info:eu-repo/semantics/closedAccessinfo:eu-repo/semantics/conferenceObjecthttps://munzur-rdlopen.rawdatalibrary.net/tr/items/munzur/3990