An optimization method inspired by "chaotic" ant behavior

被引：53

作者：

Li, Lixiang

Yang, Yixian

Peng, Haipeng

Wang, Xiangdong

机构：

[1] Beijing Univ Posts & Telecommun, Dept Informat Engn, Beijing 100876, Peoples R China

[2] Xidian Univ, State Key Lab Integrated Serv Network, Xian 710071, Peoples R China

[3] Shenyang Univ Technol, Sch Informat Sci & Engn, Shenyang 110023, Peoples R China

来源：

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2006年 / 16卷 / 08期

基金：

中国国家自然科学基金;

关键词：

chaotic search; numerical optimization; biologically inspired algorithm; particle swarm; ant algorithm; chaotic ant swarm;

D O I：

10.1142/S0218127406016100

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Inspired by the behavior of the ants in nature, we propose an optimization method, which combines the chaotic behavior of individual ants with the intelligent optimization action of an ant colony. Our method includes both effects of chaotic dynamics and swarm-based search. It is a deterministic process different from the conventional ant algorithm. The nonlinear dynamics of the proposed method are analyzed, and we show how the algorithm, called chaotic ant swarm optimization, can be applied to numerical optimization problems with encouraging results.

引用

页码：2351 / 2364

页数：14

共 24 条

[1] CHAOTIC NEURAL NETWORKS [J].