AN OPTIMIZATION METHOD INSPIRED BY "CHAOTIC" ANT BEHAVIOR-Reference-Cited by-同舟云学术

AN OPTIMIZATION METHOD INSPIRED BY "CHAOTIC" ANT BEHAVIOR

Published:2006-08 Issue:08 Volume:16 Page:2351-2364
ISSN:0218-1274
Container-title:International Journal of Bifurcation and Chaos
language:en
Short-container-title:Int. J. Bifurcation Chaos

Author:

LI LIXIANG¹²,YANG YIXIAN¹,PENG HAIPENG³,WANG XIANGDONG³

Affiliation:

1. Department of Information Engineering, Beijing University of Posts and Telecommunications, P. O. Box 126, Beijing 100876, P. R. China

2. State Key Laboratory of Integrated Services Network, Xidian University, Xi'an 710071, P. R. China

3. School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110023, P. R. China

Abstract

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modeling and Simulation,Engineering (miscellaneous)

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218127406016100

Reference19 articles.

1. Chaotic neural networks

2. Swarm Intelligence

3. AntNet: Distributed Stigmergetic Control for Communications Networks

4. Chaotic simulated annealing by a neural network model with transient chaos

5. Is animal behaviour chaotic? Evidence from the activity of ants

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