This study presents a parameter coordination and robust optimization approach based on knowledge network modeling. The method allows multidisciplinary designer to synthetically coordinate and optimize parameter considering multidisciplinary knowledge. First, a knowledge network model is established, including design knowledge from assembly, manufacture, performance, and simulation. Second, the ...

We consider the design of tapers for coupling power between uniform and slowlight periodic waveguides. We describe new optimization methods for designing robust tapers, which not only perform well under nominal conditions, but also over a given set of parameter variations. When the set of parameter variations models the inevitable variations typical in the manufacture or operation of the couple...

This chapter proposes a robust design approach that exploits the openended topological synthesis capability of genetic programming (GP) to evolve robust lowpass and highpass analog filters. Compared with a traditional robust design approach based on genetic algorithms (GAs), the open-ended topology search based on genetic programming and bond graph modeling (GPBG) is shown to be able to evolve ...

We address the problem of robust, computationally-efficient design of biological experiments. Classical optimal experiment design methods have not been widely adopted in biological practice, in part because the resulting designs can be very brittle if the nominal parameter estimates for the model are poor, and in part because of computational constraints. We present a method for robust experime...

Shielded Metal Arc Welding (SMAW), an arc welding process, is widely used in applications. In practice, SMAW applied to the process on hollow square pipe. Performance expected from this tensile strength of weld joint. The influenced by parameters which have possibility for optimization become ‘robust’. Robust a design less sensitive effect uncertain quantities or noise factors. Taguchi method m...