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Configuration Design using a Genetic Algorithm in the Embodiment Design Phase  

이인호 (한양대학교 대학원 기계설계학과)
차주헌 (국민대학교 기계자동차공학부)
김재정 (한양대학교 기계공학부)
Publication Information
Abstract
This paper proposes a representation for the embodiment design of mechanical structures and a genetic algorithm suited for the representation. In order to represent early stages and latter stages of the embodiment design, the designs are modeled as simultaneous multi-objective optimization problems of parametric designs for parts and of layout generation for structures. The study, thus, involves genotypes that are adequate to represent phenotypes 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.
Keywords
Genetic algorithm; Embodiment design; Multi-objective optimization;
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Times Cited By KSCI : 1  (Citation Analysis)
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