An adaptive parameter control strategy for ACO

Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

Volumn 2006, Issue , 2006, Pages 203-206

  Hao, Zhi Feng ^a   Cai, Rui Chu ^a   Huang, Han ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Adaptive parameters; Ant colony optimization; Particle swarm optimization; TSP

Indexed keywords

COMBINATORIAL MATHEMATICS; GLOBAL OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING; TRAVELING SALESMAN PROBLEM;

ADAPTIVE PARAMETERS; ANT COLONY OPTIMIZATION (ACO); PARTICLE SWARM OPTIMIZATION (PSO);

ADAPTIVE CONTROL SYSTEMS;

EID: 33947204665     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2006.258954     Document Type: Conference Paper

References (11)

1. A. Colorni, M. Dorigo and V. Maniezzo. Distributed optimization by ant colonies. Proceeding of 1st European Conference on Artificial Life, France, 1991: 134-142
2. M. Dorigo, L. M. Gambardella. Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation. 1997, 1(1): 53-66
3. T. Stützte, H. H. Hoos. MAX-MIN ant system. Future Generation Computer Systems. 2000, 16(8): 889-914
4. W. J. Gutjahr. ACO algorithms with guaranteed convergence to the optimal solution. Information Processing Letters. 2002, 82: 145-153
5. T. Stützte, M. Dorigo. A Short Convergence Proof for a Class of Ant Colony Optimization Algorithms. IEEE Transactions on Evolutionary Computation. 2002, 6(4): 58-365.
6. A. Badr, A. Fahmy. A proof of convergence for Ant algorithms. Information Sciences. 2004, 160: 267 -279.
7. S. Fidanova. ACO Algorithm with Additional Reinforcement. Third International Workshop, Brussels, Belgium, 2002: 292-293.
8. S. Fidanova, Convergence Proof for a Monte Carlo Method for Combinatorial Optimization Problems. M. Bubak et al. (Eds.): ICCS 2004, LNCS 3039, 2004, 523-530.
9. I., Watanabe, S., Matsui, Improving the Performance of ACO Algorithms by Adaptive Control of Candidate Set, Evolutionary Computation, CEC '03, 2003, 2: 1355-1362.
10. M. L. Pilat, T. White, Using Genetic Algorithms to Optimize ACS-TSP, M.Dorigo et al. (Eds.):ANTS 2002, LNCS 2463, 2002: 282-287.
11. James Kennedy. The Particle Swarm : Social adaptation of Knowledge, IEEE International Conference on Evolutionary Computation, Indianapolis, 1997: 303 - 308.