The Optimized Design Based On Gene Regulatory Network

The intellectualized computer-assisted technology brings experiences of efficient innovation to designers. However, this neglects the designers as an important principal role in the design process. Literature studies have found that designers are using a lot of intellectualized CAD technology to replace their studies, rather than assist them directly. Designers have to simultaneously process multiple design elements, and the importance of design elements and the relationship between them are tacit knowledge, so it is difficult for designers to handle directly. This thesis references the concept of gene regulatory network (GRN), summarizes the relationship between nodes, draws GRN maps, and analysis the mentioned tacit knowledge to assist designers’activities.This thesis researches and analyses the data of industrial design competition status, using1376vacuum cup entries as a research vehicle, which are from2008-2013"Chinese hardware products industrial design competition", and data encoding the design elements of those entries. To establish GRN of vacuum cap, the design elements of vacuum cup as nodes, the relationship between design elements as edges, and the GRN network analysis are used to identify critical nodes and node groups. This uses finalists as samples, analyzes statistical characteristics of the award-winning works by comparing the GRN network infrastructure of all products and finalists, and makes recommendations for the vacuum cup design.The research of thesis is based on the concepts of GRN gene regulatory network, expresses the recessive factor in an explicit way, and eliminates unnecessary factors interfere, to assist designers’work in a clear and efficient way. This research method can not only improves the efficiency of designers’work, and reduces enterprise R&D costs, but also facilitates the management of enterprise design data and improves their market competitiveness.