Application of Intersection Method for Multi-Objective Optimization in Optimal Test with Desirable Response Variable

This paper aims to conduct applications of intersection method for multi-objective optimization in optimal test design with desirable response variable. The partial favourable probability the variable is evaluated according type “one side desirability problem” or range and requirements first; then evaluation total Pt conducted common procedure "intersection" multi-object performance indicators test. Finally, regression analysis performed variables get maximum configuration As application examples designs maximizing yield constraints viscosity molecular weight conversion rate thermal activity are given detail, satisfied results obtained.