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Zbl 1177.90378
Rashedi, Esmat; Nezamabadi-Pour, Hossein; Saryazdi, Saeid
GSA: A gravitational search algorithm. (English)
[J] Inf. Sci. 179, No. 13, 2232-2248 (2009). ISSN 0020-0255

Summary: In recent years, various heuristic optimization methods have been developed. Many of these methods are inspired by swarm behaviors in nature. In this paper, a new optimization algorithm based on the law of gravity and mass interactions is introduced. In the proposed algorithm, the searcher agents are a collection of masses which interact with each other based on the Newtonian gravity and the laws of motion. 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 nonlinear functions.

MSC 2000:: *90C30 Nonlinear programming
90C59 Approximation methods and heuristics
68T20 Problem solving
68P10 Searching and sorting
68W05 Nonnumerical algorithms

Keywords: law of gravity

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