Paper Title:
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.

  Info
Periodical
Chapter
Chapter 2: Simulation and Engineering Optimization
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, 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
$32.00
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