Aiming at problem of wireless network automatic cell planning（ ACP） of a high-dimensionally optimizing universal mobile telecommunications system（ UMTS）

is used improved genetic algorithm This algorithm adopts a special orthogonal method to give initial solutions

use the elitist selection strategy and adaptively changes the values of crossover probabilities and mutation probabilities. The simulation results show that the performance of the algorithm is significantly upgraded compared with other genetic algorithms

and the optimal solutions to high-dimensional UMTS-ACP issue can be found more effectively.