Comparsion review of traditional multi-objective optimization methods and multi-objective genetic algorithm

The multi-objective optimization is an important reseaching direction in most optimizing field.The multi-objective optimization model is discussed,several kinds of traditional optimization methods and multi-objective genetic algorithm are also introduced,the results of improved genetic algorithm and the traditional optimization method are compared,in order to study multi-objective optimization problem of more efficient algorithms,if the both advantages can be combined,the effect of multi-objective problem will be getting better and better.