抄録
Interactive Evolutionary Computation (IEC) is a method to optimize parameters with subjective evaluation by human user, and it is applicable with the creative tasks like composition or coloration, which computer system was not able to deal with before. In IEC process, evolutionary computation, which is one of the multi-point search algorithms, is used to find an optimal parameter set which user likes. Evolutionary computation is designed for the environment in which the system can use long term of computational time. However in situations of interactive parameter optimization, since input from human user is needed, foundation of a good solution in very short computational time is required considering fatigue of users. In these situations, evolutionary computation which tries to find global optima with long computational time is not necessarily suitable. In this research, to find a good solution in interactive situations, we propose a new search algorithm with two stages of multi-point search and one-point search. From the results of mathematical benchmark tests, we found that our method is effective in the environment with limited number of evaluations, which contains large segment of conventional IEC applications. Additionally, we also show the effectiveness of our method with a real world application.
