Based on multi-objective optimization

a service access control algorithm is proposed

which can be applied to the environment of heterogeneous wireless networks.An optimized multi-objective control model adopting improved membership function is designed

in which the minimum total occupied resources of distribution services

the minimum service blocking rate and the maximum network load balancing degree of each candidate network are taken as objective functions.The objective membership function

composed of gaussian and upper limit functions is used to obscure each objective function

then the fuzzy satisfaction maximum-minimum technique is adopted to reformulated this multi-objective optimization problem into a single objective nonlinear programming problem

and the optimal service access strategy is obtained by genetic algorithm.Simulation results show that the algorithm can guarantee the system resource utilization and the service access reliability

as well as decrease the system call blocking probability compared to the reference algorithms.