New algorithm for a non-linear programming problem based on adaptive genetic algorithm

The traditional methods to answer the question of non-linear programming have some limitations in its access to local optimum,low efficiency,and even no results obtained.And genetic algorithm with the same probability of crossover and mutation probability to control the evolution very easily lead to early maturity and reduce the efficiency of the algorithm.The crossover probability and mutation probability should be adjusted automatically According to fitness,thus a new genetic algorithm was proposed.Simulation results for six test functions,show that the new algorithm proposed in this paper is very effective.