Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
394754 | Information Sciences | 2009 | 17 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Esmat Rashedi, Hossein Nezamabadi-pour, Saeid Saryazdi,