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An Approach to the Interactive Design Process Using Genetic Algorithms
This paper is aiming to apply the Genetic Algorithms (GA) to the interactive design process. The process consists of three phases: the searching phase, the tuning phase and the design phase. The first phase searches the optimal decision sequences for the past design instances by GA. By the collected sequences, the second phase tunes the criteria of selecting decision sequences for the next design process. By this scheme, the implicit con-straints satisfied in the past design can be applied to the next design. Finally, the com-puter simulations on the simple gear-train design were carried out to show the effec-tiveness of the scheme