Abstract: A fusion optimization mechanism,which considers the requirements for the comprehensive consideration of product's creativity and user's satisfaction,is established based on user innovation theory and interactive genetic algorithms(IGA).Design's creativity is evaluated through differentiation concentration,and the sensitive factors for creativity calculation and user's satisfaction are generated with an improved interactive evaluation method.The paper discusses the evasive method for integrating creativity and satisfaction factors,and provides the objective functions.Optimization process is carried out in two independent phases,which are instructed by users and designers respectively.The first phase aims at collecting user's evaluation information,which is taken based on random generated populations.The sensitive factors for parameters are calculated in this phase.The second phase is guided by designers to find the final solutions with evolutionary method considering both creativity and satisfaction.A prototype system has been implemented and a product shape optimizing example is taken to verify the method.