ユーザの感性に基づく初期個体を生成する対話型遺伝的アルゴリズム

概要

論文の詳細を見る
In this paper, we propose new methods to generate initial individuals which reflects human's sensitivity in Interactive Genetic Algorithm (IGA). Specifically, we propose the initial individuals generation method based on color harmony theories. IGA is an optimization method based on Genetic Algorithms (GA) which simulates the evolution of living things, where the evaluation part of the GA is handled subjectively by a user. Color harmony theory are the principles used to create harmonious color combinations. In the proposed methods, by including user's favorite individuals in an initial population, we aim at to increase efficiency of searching solution and reducing user's loads. We constructed a system which designs a color combination of individual workspace and experimented to verify the validity of the proposal methods. The experiment showed that a design with a user's high level of satisfaction is generable in the system using the proposal methods. In addition, we figured out that the proposed methods are effective, and found out that it was useful in reducing the psychological fatigue of the users.