Computational Intelligence Approach for Environmental Design based on Multi-objective Optimization Including Qualitative Factors

2017 Fiscal Year Final Research Report

• Project/Area Number: 26350032
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Design science
• Research Institution: Akita National College of Technology
• Principal Investigator: Inoue Makoto 秋田工業高等専門学校, その他部局等, 教授 (20634223)
• Co-Investigator(Renkei-kenkyūsha): TAKAGI Hideyuki 九州大学, 芸術工学研究科(研究院), 教授 (50274543) ; PEI Yan 会津大学, コンピュータ理工学部, 准教授 (30736004)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: ソフトコンピューティング / 環境デザイン / 設計支援 / 感性情報学 / 進化的多目的最適化 / 対話型進化的計算 / 空間生成アルゴリズム

Outline of Final Research Achievements

1. We experimented on evolutionary multi-objective optimization, EMO combinations four objectives for environmental design and a designer's qualitative objective for interactive evolutionary computation. We confirmed some effectiveness of combinations EMO and IEC for a design support system. 2. We attempted to improve of space generating algorithm with four ways. 3. We evaluated a way that glow each floor in proportion to its target floor area in the space generating algorithm process. 4. We defined an acceptability concept as a qualitative degree how designers or users can accept for design objectives. We introduced the acceptability concept to many-objective problems.

Free Research Field

デザイン学