Co-Evolutionary and Co-Existent Formation of Architectural Spaces using a Multiple Optimization System

• YAMABE Yuichiro

  Department of Architecture, Kobe University

• TANI Akinori

  Department of Architecture, Kobe University

• KAWAMURA Hiroshi

  Kobe University

抄録

In this paper, a multiple optimization system using genetic algorithms is proposed. Using this system, plural objectives with mutually differing evaluation criteria can co-evolve and co-exist according to given overall conditions. Three case study simulations are performed in which three architectural spaces are formed using a cellular automata model and the L-system within a building site under the following conditions: internal conditions— stability, density, aspect ratio, and natural lighting; and external conditions— building coverage and floor area ratio. For these case studies, results showed that these three architectural spaces can co-evolve and co-exist autonomously, adapting to external site conditions using the proposed multiple optimization system.

収録刊行物

• Journal of Computational Science and Technology

  Journal of Computational Science and Technology 2 (3), 371-380, 2008

  一般社団法人 日本機械学会

キーワード

• Fuzzy Theory
• Genetic Algorithms
• Architectural Spaces
• Cellular Automata
• Co-Evolution
• Co-Existence
• Multiple Optimization

詳細情報

• CRID: 1390001205276069248
• NII論文ID: 130000079244
• DOI: 10.1299/jcst.2.371
• ISSN: 18816894
• Web Site: http://www.jstage.jst.go.jp/article/jcst/2/3/2_3_371/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可