A Mixed Ant Colony Algorithm for Problem of Function Optimization

Yan Jun Luo; Zhao Yu Bei

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 101-102A Mixed Ant Colony Algorithm for Problem of...

A Mixed Ant Colony Algorithm for Problem of Function Optimization

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 101-102)

Pages:

216-219

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.101-102.216

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Online since:

September 2011

Authors:

Yan Jun Luo, Zhao Yu Bei

Keywords:

Ant Colony Algorithm (ACA), Artificial Fish-Swarm Algorithm (AFSA), Function Optimization

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