Application of the Modified Genetic Algorithm to Multi-response Robust Design Based on the Entropy Weight and the Desirability Function

How to consider the objective information of interesting responses in the course of new product design and development is discussed, when the subjective information cannot be accurately expressed by decision-makers. A modified desirability function approach is proposed to achieve robustness and optimization for multi-response optimization (MRO) problems. Because the modified desirability function is usually with multi-peak distribution, multi-constraints and high nonlinearity, the traditional gradient search algorithms are not suitable for searching the maxima of the function. So a modified genetic algorithm (MGA) is proposed to find optimal solutions. The example shows that the proposed method can obtain more effectively solutions for MRO problems.