Application of probability-based multi-objective optimization in material engineering

Introduction/purpose: Althought many methods have been proposed to deal with the problem of material selection, there are inherent defects additive algorithms and subjective factors in such algorithms. Recently, a probability-based multi-objective optimization was developed solve shortcomings previous methods, which introduces novel concept preferable probability reflect preference degree candidate optimization. In this paper, new method is utilized conduct an optimal scheme switching RF-MEMS shunt capacitive switch, sintering parameters natural hydroxyapatite design connecting claw jig. Methods: All performance utility indicators materials divided into two groups, i.e., beneficial or unbeneficial types for selection process; each indicator contributes quantitatively partial product all probabilities makes total candidate, transfers single-objective one represents uniquely decisive index competitive process. Results: Cu appropriate RF - MEMS switches; at 1100°C 0 compaction pressure; No 1 Conclusion: The can be easily used objectively engineering.