استفاده از مدل برنامه ريزي آرماني غيرخطي براي بهينه سازي مسائل داراي چند سطح پاسخ

Using Nonlinear Goal Programming for Optimization of Problems with Multi level Solutions

Each process has one or some inputs and outputs. Design of Experiments (DOE) is defined as exertion of conscious change in input variable of a process and measuring and evaluating of resulted changes in output variable (solution). The most important issue exposed in design of experiments is the determination of input variables for optimizing response variable. This article uses nonlinear goal programming for optimization of problems with more than one solution.