Simulation of Computer Communication Network Flow Distribution Model Based on Improved Ant Colony Optimization

How to distribute and balance the flow in computer networks has always been a difficult problem to give an answer. In the design of computer communication network, the average delay of the network is an important factor to be considered. In this paper, the simulation research of computer communication network flow distribution model based on improved ACO(ant colony optimization) algorithm is carried out. ACO breaks the limitation of traditional network, and controls the path of data flow in the network according to the state information of the network, thus achieving the purpose of controlling network flow. In this paper, ACO is used in computer communication network flow distribution, and GA(genetic algorithm) is used to update pheromones through path crossover and mutation operations, which can optimize the global situation and avoid stagnation, so as to improve the convergence speed and global search ability of the algorithm. The research results show that with the increase of the unit packet delay cost, the fixed cost of the link is reduced from 70% to about 60%, while the variable cost has no obvious fluctuation, which fully reflects the superiority of the improved ACO in the flow distribution of computer communication networks.