Multiple hump function optimization based on niche genetic algorithm

According to the information of multiple hump object function,genetic algorithm is used to seek several global optimums,which are severed as prior knowledge to determine the niche distance.This approach is successfully used in Shubert function optimization.Niche genetic algorithm not only can search all global optimums,but also is better than genetic algorithm in convergence for one global optimum under the same genetic operators and the same parameters.