GSA: A Gravitational Search Algorithm Article
Author(s): Nezamabadi-pour H.,Rashedi E.,Saryazdi S.
Information Sciences Volume 179, Issue 13, 2009 , Pages 2232-2248
DOI:10.1016/j.ins.2009.03.004
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. © 2009 Elsevier Inc. All rights reserved.
Keywords
Optimization Non-linear functions Heuristic methods Gravitational Search Algorithm Heuristic search methods Law of gravity Newtonian gravities Learning algorithms Modular robots Optimization algorithms Gravitational effects Heuristic search algorithms Laws and legislation Mass interactions Heuristic optimization methods Heuristic algorithms Swarm behaviors

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