Education System Search: A New Population-based Metaheuristic Optimization Algorithm

Majlesi Journal of Electrical Engineering

مقاله 11، دوره 13، شماره 3، آذر 2019، صفحه 107-116   

نوع مقاله: Review Article

نویسندگان

Hossein Moradi^* ؛ Hossein Ebrahimpour-Komleh

Department of Computer Engineering, Faculty of Computer and Electrical Engineering, University of Kashan, Kashan, Iran

چکیده

Optimization algorithms inspired by nature as intelligent optimization methods with classical methods have demonstrated significant success. Some of these techniques are genetic algorithms, inspired by biological evolution of humans and other creatures) ant colony optimization and simulated annealing method (inspired by the refrigeration process metals). The methods for solving optimization problems in many different areas such as determining the optimal course of their work, designing optimal control for industrial processes, solving industrial engineering major issues such as the optimal layout design for industrial units, problem solving, and queuing in the design of intelligent agents have been used. This paper introduces a new algorithm for optimization, which is not a natural phenomenon, but a phenomenon inspired teaching-human. It is entitled Education System algorithm (ESA).   Results demonstrate this method is better than other method in this area.

کلیدواژه‌ها

Education System Algorithm؛ Metaheuristic؛ Optimization؛ Evolutionary Algorithm

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