Application of optimized ant colony algorithm in network routing

Bingchen Zhao, Junying Huang, Bin Zhang, Shaofang Xia

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12A) 181-185

College of mathematics and information technology, Xingtai University, Xingtai 054001, HeBei, China

The emergence of the ant colony algorithm has caused great attention of scholars, and been widely applied in such fields as the data mining and the integrated wiring design of the large scale integrated circuits and so on. However, as the complexity to solve problems increases, the traditional ant colony algorithm increasingly shows its limitations of solving problems. Based on the ant colony optimization algorithm, this article puts forward the load-balancing routing based on the ant colony optimization, designs updating rules of pheromone concentration specific to the ant colony optimization algorithm, integrates the ant colony optimization and cross layer optimization methods, and designs updating models in terms of the volatilization of the pheromone concentration and different data groups