An implement approach for optimized variant design based on product gene

Product optimization in product design is a very essential and time-consuming process especially at the variant design stage. A research project is introduced aiming to develop quickly a variant design system capable of competition and owning market shares. According to it, a new variant design idea, with a logical product structure model, is put forward based on product gene (PG). The product gene model (PGM) and its sequential gene manipulation are established, which described an optimization model of products. Adapting to the optimization model of products, an improved artificial immune algorithm (IAIA) is adopted based on basic artificial immune algotithm (BAIA). The numerical results demonstrate the high performance of the suggested methods for structural optimization with a certain constraints. It is found that the better results are obtained in variant design.