American Journal of Information Science and Computer Engineering
Articles Information
American Journal of Information Science and Computer Engineering, Vol.1, No.3, Sep. 2015, Pub. Date: Jul. 9, 2015
Physics Based Metaheuristic Algorithms for Global Optimization
Pages: 94-106 Views: 2275 Downloads: 3254
[01] Umit Can, Tunceli University, Department of Computer Engineering, Tunceli, Turkey.
[02] Bilal Alatas, Firat University, Department of Software Engineering, Elazig, Turkey.
In recent years, several optimization methods especially metaheuristic optimization methods have been developed by scientists. People have utilized power of nature to solve problems. Therefore, those metaheuristic methods have imitated physical and biological processes of nature. In 2007, Big Bang Big Crunch optimization algorithm based on evolution of universe and in 2009, Gravitational Search Algorithm based on gravity law have been proposed and have been applied to solve complex problems. However, there have been proposed many physics based algorithms afterwards. Although, many of the proposed metaheuristic optimization algorithms are known as biology based, in fact, the number of the proposed physics based metaheuristic algorithms is not less than that of algorithms based on biology. In this paper; all of the current physics based metaheuristic optimization algorithms have been searched, collected, and introduced with the performed studies.
Metaheuristic Optimization, Physics Based Metaheuristic Optimization, Artificial Intelligence Optimization Algorithms
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