Genetic algorithm solution for constrained optimization
Songbo Song, Huanjie Cai, Yan Kang · Xibei Nong-Lin Keji Daxue xuebao. Ziran kexue ban · 2005
Based on the principles of genetic algorithm,the general GA methods for Non Linear Programming and Integral Programming were designed by using operators such as Tournament Selection, Arithmetic Crossover,Uniform Crossover, Uniform Mutation and Non Uniform Mutation. Using Matlab (6.0), the computation program of GA has been developed. Finally, The GA for Non Linear Programming and Integral Programming is tested by some examples and the results show that the algorithm in this paper is feasible and stable.