Gases Brownian Motion Optimization: an Algorithm for Optimization (GBMO)

Authors:
Marjan Abdechiri;Mohammad Reza Meybodi;Helena Bahrami
Affiliations:
Electronic, Computer & IT Department, Qazvin Azad University, Qazvin, Iran;Computer Engineering and Information Technology Department, Amirkabir University of Technology, Tehran, Iran;Electronic, Computer & IT Department, Qazvin Azad University, Qazvin, Iran
Venue:
Applied Soft Computing
Year:
2013

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Abstract

In recent years, different optimization methods have been developed for optimization problem. Many of these methods are inspired by swarm behaviors in nature. In this paper, a new algorithm for optimization inspired by the gases brownian motion and turbulent rotational motion is introduced, which is called Gases Brownian Motion Optimization (GBMO). The proposed algorithm is created using the features of gas molecules. The proposed algorithm is an efficient approach to search and find an optimum solution in search space. The efficiency of the proposed method has been compared with some well-known heuristic search methods. The obtained results confirm the high performance of the proposed method in solving various functions.