Study on QoS routing algorithm of CPS heterogeneous network based on ant colony algorithm and genetic algorithm

CPS is the development trend of the next network. Because of heterogeneity of CPS network, it has become a serious problem to guarantee the network´s quality of service (QoS). Genetic algorithm and ant colony algorithm are effective methods to solve the routing problem. Genetic algorithm has the ability of global search, however, it doesn´t utilize the feedback information of the system, which results in low solution rate; Ant colony algorithm is capable of global convergence, but it is lack of initial pheromones leading to slow algorithm. This paper combines the two algorithms to solve CPS network routing problems and it is turned out to be valid through simulation.