Adaptive interactive evolutionary computation for cctive intent-oriented design

Through human participation in the search-and-selection process, an interactive evolutionary computation-based design environment can offer industrial designers an exploration studio for the stimulation of creativity through evolution of continually emerging shapes, helping them to attain models with certain design intent. Such stochastic searches possibly bring user fatigue because of long-time iteration. In order to accelerate the evolving process, adaptive mechanisms of evolutionary computation are used to actively capture the design intent during a man-machine interactive modeling process, adapting the design-evolution process to support the designer in quickly finding appreciated solutions in the midst of giant possibilities. To test the proposed concept of active intent-oriented design, two interactive evolution strategies-based curve modifiers - with and without adaptation - are implemented as plugins with a conventional CAD tool. Primitive experimental results are presented to show the potential of the proposed concept.