Integrated intelligent algorithm for product design based on simulation of creative thinking

Abstract

In order to simulate creative design thinking of human being and then improve those product design methods commonly used, a model of creative thinking consisting of alternant emanative and converging thinking was put forth. These shortages in case-based reasoning (CBR) and genetic algorithms (GA) were analyzed by the model. It was proved that the fundamental reason of these shortages is that they only can simulate a single process in the model of creative thinking. Then a simulation algorithm of directed similarity association is brought forward so as to realize the computation of similarity degree of product demand between components, and simulate the whole model of creative thinking by combining CBR and GA. A corresponding product design system was put forward, and then an experiment was conducted, and the results show that the combined intelligent algorithm has good performance in search.