Abstract: To solve the problem of low convergence speed and congestion and oscillation in conventional routing algorithms, a novel method of dynamic routing algorithm for multimedia network is proposed based on ant colony optimization (ACO) algorithm and genetic algorithms (GAs). The essential advantages of ACO including cooperation, positive feedback, and distributed nature and the disadvantages of low convergence speed are discussed. By considering the high adaptability of GAs, the cross operation and mutation of genetic algorithms are introduced into the ACO to improve its searching ability and to dynamically adjust the influence of each ant for the trail information updating and the selected probabilities of the paths. The algorithm is also well suited for dynamic networks and can make the selected paths shortest, miss the traffic jams and keep the balance of networks load distribution.