This paper presents a formulation and solution of a multi-objective optimization problem for the selection of the best control settings on a wire electrical discharge machine. The measures of performance for the model are taken to be metal removal rate and surface finish quality. A factorial design model is used to predict the measures of performance as a function of a variety of control settings. To aid in selecting the best combination of settings the concept of a non-dominated point is introduced. The non-dominated points are related to two important complementary optimization problems. Two techniques for the computation of non-dominated points are presented—one using explicit enumeration and the other based on the principles of dynamic programming.
No takes yet. Share an insight, caveat, or question.
Scott et al. (1991) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: