Continuous function optimization using hybrid ant colony approach with orthogonal design scheme

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4247 LNCS, Issue , 2006, Pages 126-133

  Zhang, Jun ^a   Chen, Wei Neng ^a   Zhong, Jing Hui ^a,b   Tan, Xuan ^a   Li, Yun ^b  

^a SUN YAT SEN UNIVERSITY   (China)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BENCHMARKING; CARRIER COMMUNICATION; FUNCTION EVALUATION; PROBLEM SOLVING;

ANT COLONY OPTIMIZATION (ACO); ORTHOGONAL DESIGN SCHEME; ORTHOGONAL SCHEME ANT COLONY OPTIMIZATION (OSACO); RANDOM NODES;

OPTIMIZATION;

EID: 33751373758     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11903697_17     Document Type: Conference Paper

References (13)

1. M. Dorigo, V. Maniezzo and A. Colorni, "Ant system: optimization by a colony of cooperating agents," IEEE Trans. on systems man, and cybernetics - part B: cybernetics, vol. 26, 1996, pp. 29-41.
2. M. Dorigo and L. M. Gambardella, "Ant colony system: A cooperative learning approach to TSP", IEEE Trans. Evol. Comput., vol. 1, 1997, pp. 53-66.
3. M. Dorigo, G. Di Caro, and L. M. Gambardella, "Ant algorithms for discrete optimization," Artificial Life, 1999, 5(2), pp. 137-172.
4. R. S. Parpinelli, H. S. Lopes, and A. A. Freitas, "Data mining with an ant colony optimization algorithm," IEEE Transactions on Evolutionary Computation, vol. 4, 2002, pp. 321-332.
5. K. M. Sim and W. H. Sun, "Ant colony optimization for routing and load-balancing: survey and new directions," IEEE Trans. on systems man, and cybernetics - part A: system and humans, vol. 33, 2003, pp. 560-572.
6. G. Bilchev and I. C. Parmee, "The ant colony metaphor for searching continuous design spaces," AISB Workshop on evolutionary computation, 1995.
7. M. Wodrich and G. Bilchev, "Corporative distributed search: the ants' way", Control Cybernetics, 1997, 26, 413
8. M. Mathur, S. B. Karale, S. Priye, V. K. Jayaraman, and B. D. Kulkarni, "Ant colony approach to continuous function optimization," Ind. Eng. Chem. Res. 2000, pp3814-3822.
9. N. Monmarché, G. Venturini, and M. Slimane, "On how Pachycondyla apicalis ants suggest a new search algorithm," Future Generation Computer Systems, 16:937-946, 2000.
10. J. Dréo and P. Siarry, "Continues interacting ant colony algorithm based on based on dense heterarchy," Future Generation Computer Systems, 20(5):841-856, 2004.
11. K. T. Fang and Y. Wang, Number-Theoretic Methods in Statistics, New York: Chapman & Hall, 1994.
12. A. S. Hedayat, N. J. A. Solane, and John Stufken, Orthogonal Arrays: Theory and Applications, New York: Springer-Verlag, 1999.
13. X. Yao, Y. Liu and G. Lin, "Evolutionary programming made faster", IEEE Transactions on Evolutionary Computation, vol. 8, 2004, pp. 456-470.