CGBDE - Presentation of a New Combined Method for Optimization
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2014, Vol 8, Issue 10
Abstract
This paper presents a new combined method for optimization of functions called CGBDA. The method is formed by combining optimization algorithm of the Cooperative Gases Brownian Motion Optimization and the great deluge algorithm (GDA). Local search property of GDA is used for algorithm accuracy and the result thereof is given to the Cooperative Gases Brownian Motion Optimization to improve search power. Performance of the proposed method is shown through implementing it on some problems of criterion and efficiency of the method is evaluated by comparing the obtained results with the available ones through another method such as Genetic Algorithm(GA),the Particle Swarm Optimization(PSO) algorithm, Imperialist Competitive Algorithm (ICA) and the gases Brownian motion.
Authors and Affiliations
Ehsan Sadeghipour| Sama technical and vocational training college, Islamic Azad University, Bandar Abbas Branch, Bandar Abbas, Iran, ehsan61.ai@gmail.com, Mahmoud Reza Saybani| University of Hormozgan, Faculty of Power and Computer, University.saybani@gmail.com, zeinab bahmanzadeh| Sama technical and vocational training college, Islamic Azad University, Bandar Abbas Branch, Bandar Abbas, Iran, z.bahmanzadeh@gmail.com
Keywords
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