A novel optimization algorithm: Space gravitational optimization

被引：0
|
作者：
Hsiao, YT [1 ]
Chuang, CL [1 ]
Jiang, JA [1 ]
Chien, CC [1 ]
机构：
[1] Tamkang Univ, Dept Elect Engn, Taipei 251, Taiwan
来源：
INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS | 2005年
关键词：
optimization theory; Einstein's general theory of relativity; gravitational field; and PID controller;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new concept for the optimization of nonlinear functions is proposed. For most of the proposed evolutionary optimization algorithms, such as particle swarm optimization and ant colony optimization, they search the solution space by sharing known knowledge. The proposed algorithm is based on the Einstein's general theory of relativity, which we utilize the concept of gravitational field to search for the global optimal solution for a given problem. In this paper, detail procedure of the proposed algorithm is introduced. The proposed algorithm has been tested on an application that is known difficult with promising and exciting results.
引用
收藏
页码：2323 / 2328
页数：6
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