抄録
In recent years we have seen in such areas as product design the increasing importance of the level of sensibility that enhances such added values as design onto engineering scale. In sync with this, Interactive Genetic Algorithm (IGA) has drawn attention. IGA is an optimization method using a genetic algorithm (GA) where the evaluation of the individuals is performed by a user. IGA is optimized by a pseudoconversation by the one to one of man and the computer. In this paper, we propose Global Asynchronous Distributed Interactive Genetic Algorithm (GADIGA) as an algorithm for creating better design solutions with many people without synchronization.
