GSA: A Gravitational Search Algorithm

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• 作者：Esmat Rashedi ; Hossein Nezamabadi-pour ; Saeid Saryazdi
• 关键词：Optimization ; Heuristic search algorithms ; Gravitational Search Algorithm ; Law of gravity
• 刊名：Information Sciences
• 出版年：2009
• 出版时间：13 June 2009
• 年：2009
• 卷：179
• 期：13
• 页码：2232-2248
• 全文大小：650 K

文摘

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.