This paper proposes a representation for the embodiment design and a genetic algorithm suited for the representation. Since embodiment design consists of highly interrelated design processes, how to formalize and integrate the processes has become an important issue. In this paper, embodiment design is modeled as simultaneous multi-objective optimization of parametric designs for parts and of layout generation for structures. The study, thus, involves genotypes that are adequate to represent phenorypes of the models for the genetic algorithm to solve the given problems. We demonstrate the implementation of the genetic algorithm with the result applied to the gear equipment design.
|Number of pages||10|
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|State||Published - 2004 Dec 1|