Research on Application of Ant Colony Optimization

Article Preview

Abstract:

We research on application of ant colony optimization. In order to avoid the stagnation and slow convergence speed of ant colony algorithm, this paper propose the multiple ant colony optimization algorithm based on the equilibrium of distribution. The simulation results show that the optimal algorithm can have better balance in reducing stagnation and improving the convergence.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1213-1216

Citation:

Online since:

April 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] M. Heusse,S. Guerin,U. Syners, and P. Kuntz. Adaptive agent-driven routing and load Balancing in communication networks. Technical Report RR-98001-IASC . (1998).

Google Scholar

[2] D. Subramanian,P. Druschel, and J. Chen. Ants and reinforcement learning: A case study in routing in dynamic networks. Proceedings of IJCAI-97International Joint Conference on Artificial Intelligence . (1997).

Google Scholar

[3] R. van der Put. Routing in the faxfactory using mobile agents. Technical Report R&D-SV-98-276 . (1998).

Google Scholar

[4] Lu Guoying, Liu Zemin. QoS Multicast Routing Based on Ant Algorithm in Internet. The Jounai of China Universities of Posts ant Telecommunication . (2000).

DOI: 10.1109/lcn.2000.891069

Google Scholar

[5] W. L. Pharn, W. C. Chiu. Approximate solutions for the Maximum Benefit Chinese Postman Problem[J]. International Journal of Systems Science, (2005).

Google Scholar

[6] ZHANG Meiyu, HUANG Han, HAO Zhifeng, et al. Motion planning of autonomous mobile robot based on ant colony algorithm[J]. Computer Engineering and Applications, (2005).

Google Scholar

[7] ZHANG Meiyu, HUANG Han, HAO Zhifeng, et al. Motion planning of autonomous mobile robot based on ant colony algorithm[J]. Computer Engineering and Applications, (2005).

Google Scholar

[8] F. Chicano,E. Alba. Ant colony optimization with partial or-der reduction for discovering safety property violations in con- current models. Information Processing Letters . (2008).

DOI: 10.1016/j.ipl.2007.11.015

Google Scholar

[9] Zhao Baojiang, Li Shiyong. Ant colony optimization algorithm and its application to Neuro-Fuzzy controller design[J]. Journal of Systems Engineering and Electronics. (2007).

DOI: 10.1016/s1004-4132(07)60135-2

Google Scholar

[10] Rongwei Gan, Qingshun Guo, Huiyou Chang, Yang Yi. Improved ant colony optimization algorithm for the traveling salesman problems[J]. Journal of Systems Engineering and Electronics. (2010).

DOI: 10.3969/j.issn.1004-4132.2010.02.025

Google Scholar