Abstract: In order to break away from the traditional design method depending on the designer’s personal experience and subjective cognition, to reuse design knowledge, and to provide innovative inspiration for artificial design with automatic intelligence, the evolutionary gene model of interactive interface was constructed based on the reuse knowledge rules and boundaries summarized in the process of interactive interface design. Then, the genetic algorithm was employed to construct the evolutionary modules of the interactive interface coding, such as genetic operators, knowledge reuse constraint rules base, and interactive semantic evaluation, forming an interactive interface evolutionary design method for knowledge reuse and automation intelligent innovation. Finally, on the basis of the method, forty-five effective offspring individuals were generated from the ten generations of evolution using five common login interactive interfaces as the initial population. The effectiveness of the method was verified by design practice. The results show that the design knowledge can be summarized and reused through design rules, and the automatic intelligent aided design can be undertaken through constraint evolution, thereby elevating the level of design knowledge reuse and computer-aided intelligent innovation design.

Key words: knowledge reuse, intelligent innovation, evolutionary design, interactive interface, genetic algorithm