Application of an Interactive Genetic Algorithm in the Conceptual Design of Car Console

Interactive genetic algorithms are effective methods applied into the conceptual design of car console in order to better cater to the customer’s individualized demands for product design. In traditional interactive genetic algorithms, users’ fatigue problem restricts the population size. We propose individual fitness estimation method based on artificial neural network to reduce user fatigue problem and maintain large population size, as well as hierarchical interactive genetic algorithm to make the evolution of the population more directional and the combination of collaborative interactive genetic algorithm based on users’ preferences to implement the user personalized design system for car console. Through the establishment of the car console conceptual design system, the users interact with the system by a graphical interface. Results prove that they could conveniently design their favourite console, and their fatigue problem can be effectively solved by this system. Key-Words: Car console; conceptual design; interactive genetic algorithm; artificial neural network; user fatigue