A Mixed Ant Colony Algorithm for Problem of Function Optimization

Abstract:

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Ant colony algorithm has disadvantages such as long researching time and easily relapsing into local optimization. Artificial fish-swarm algorithm is presented to conquer the disadvantages. The combination of the two algorithms is applied in function optimization to overcome the limitation that the ant colony algorithm does not fit to solve continuous space optimization. The tested function shows the effect of the method.

Info:

Periodical:

Edited by:

Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li

Pages:

216-219

DOI:

10.4028/www.scientific.net/AMM.101-102.216

Citation:

Y. J. Luo and Z. Y. Bei, "A Mixed Ant Colony Algorithm for Problem of Function Optimization", Applied Mechanics and Materials, Vols. 101-102, pp. 216-219, 2012

Online since:

September 2011

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Price:

$35.00

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