GSA: A Gravitational Search Algorithm

被引：5353

作者：

Rashedi, Esmat ^{[1
]}

Nezamabadi-Pour, Hossein ^{[1
]}

Saryazdi, Saeid ^{[1
]}

机构：

[1] Shahid Bahonar Univ Kerman, Dept Elect Engn, Kerman, Iran

来源：

INFORMATION SCIENCES | 2009年 / 179卷 / 13期

关键词：

Optimization; Heuristic search algorithms; Gravitational Search Algorithm; Law of gravity; PARTICLE SWARM OPTIMIZATION; CENTRAL FORCE OPTIMIZATION; GENETIC ALGORITHMS; STRATEGIES; COLONY;

D O I：

10.1016/j.ins.2009.03.004

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：2232 / 2248

页数：17

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