Abstract: To solve the subjectivity and ambiguity of user demands in the product design process, and to enhance the accuracy of express product image, this study proposed a product form gene network driven by multi-objective (M-FGN). Taking brand image, user preference and social context as the driving targets, we constructed the multi-object goal driven space and analyzed the product form gene node and the edge design. Thus the product form gene was set as node, the correlation of nodes as edges, so as to construct the M-FGN network. The network with topology was also analyzed to generate the implicit design knowledge to assist designers in product form design. Taking a state-owned enterprise tobacco logistics equipment AGV design as an example, we analyzed the side form of AGV’s M-FGN network, provided the knowledge generated to the designers for the specific form design, and made a comparative evaluation of the sub-design, which verified the effectiveness of the M-FGN network model.

Key words: multi-objective image, gene network, form design, user demands