BGSA: binary gravitational search algorithm

Authors:
Esmat Rashedi;Hossein Nezamabadi-Pour;Saeid Saryazdi
Affiliations:
Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Venue:
Natural Computing: an international journal
Year:
2010

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Abstract

Gravitational search algorithm is one of the new optimization algorithms that is based on the law of gravity and mass interactions. In this algorithm, the searcher agents are a collection of masses, and their interactions are based on the Newtonian laws of gravity and motion. In this article, a binary version of the algorithm is introduced. To evaluate the performances of the proposed algorithm, several experiments are performed. The experimental results confirm the efficiency of the BGSA in solving various nonlinear benchmark functions.