In order to solve the issue of access selection in heterogeneous wireless networks

a new algorithm based on chaos genetic algorithm is proposed

of which the issue is converted into a multiple attribute optimization problem

then the chaos genetic algorithm is used to solve the global optimization problem.Firstly

a hyperchaotic system is used to generate the initial population and the chaos disturbance vector to improve the genetic algorithm

then the network selection evaluation index weight can be obtained by solving the fitness function.The simulation results show that the newly arrived users can be distributed more evenly by using the algorithm.Meanwhile

the network blocking probability and the disparity of the blocking probability of different candidate networks can be reduced effectively

so that the network load is balanced.