@article{oai:doshisha.repo.nii.ac.jp:00021361,
 author = {岡田, 典子 and Okada, Noriko and 三木, 光範 and Miki, Mitsunori and Hiroyasu, Tomoyuki and 廣安, 知之 and 吉見, 真聡 and Yoshimi, Masato},
 issue = {1},
 journal = {同志社大学理工学研究報告, The Science and Engineering Review of Doshisha University},
 month = {Apr},
 note = {本稿では,IGAにおいて人間の感性を反映する新たな初期個体生成を提案する.具体的には,色彩調和論に基づく初期個体生成方法を提案する.IGAとは,生物の進化を模倣したGAの評価を人間が行う最適化手法である.色彩調和理論とは,調和のとれた色の組み合わせを作成するための規則を体系づけたものである.提案手法では,初期個体にユーザの好みの個体を含めることで解探索を効率化し,ユーザの負担を軽減する.提案手法の有効性を検証するため,個人の執務空間の配色をデザインするシステムを構築し,実験を行った.実験の結果,提案手法を用いたシステムでは満足度の高いデザインが生成でき,また,提案手法はユーザの精神的な疲労を軽減することに有効であることがわかった., 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., application/pdf},
 pages = {29--38},
 title = {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},
 volume = {52},
 year = {2011},
 yomi = {オカダ, ノリコ and ミキ, ミツノリ and ヒロヤス, トモユキ and ヨシミ, マサト}
}