Hybrid of "Intersection" Algorithm for Multi-Objective Optimization with Response Surface Methodology and its Application

Recently, a new "intersection" method for multi-objective optimization was developed in the points of view set theory and probability theory, which introduces idea favorable to reflect degree utility performance indicator optimization, product all partial probabilities entire utilities indicators makes overall / total candidate. Here, this paper, algorithm is combined effectively with response surface methodology (RSM) by taking each as one objective, transfers multi-response problem into single help scheme. The uniquely decisive index scheme optimization. Applications hybrid approach two examples material technology are given, proper predictions obtained.