An evolution model for the creative design

In this paper an evolution model for creative design involving a mathematical model, evolution framework and implementation algorithms etc., is presented to effectively support the automation of creative design. The model takes the creative design process as an evolving process of a product prototype to the optimal scheme in accordance with a kind of measurement. This evolving process is built on the open genetic algorithm so as not to be confined by the initial population, which can get new individuals beyond the initial population by using creative reminding algorithms. At the same time, the model not only defines new operators based on the semantics of invention such as crossover, mutation, fitness function etc., but also provides an interface for integrating some other new methods of creative design as well as creative thinking patterns into the system. This model also supports a human-machine interface for receiving the guide from the design engineer online. Results of experiments with our implemented system, named AIE1.0, show that the model is promising