A Mixed Ant Colony Algorithm for Problem of Function Optimization
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.
Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li
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