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  • 标题:Planning meets self-organization: Integrating interactive evolutionary computation with cellular automata for urban planning
  • 本地全文:下载
  • 作者:Hao Hua ; Hao Hua
  • 期刊名称:Frontiers of Architectural Research
  • 印刷版ISSN:2095-2635
  • 出版年度:2012
  • 卷号:1
  • 期号:4
  • 页码:1-5
  • DOI:10.1016/j.foar.2012.08.002
  • 出版社:Elsevier
  • 摘要:The experiment carried by the author in 2010 is to test if self-organizing systems could be systematically regulated according to the user's preference for global behavior. Self-organizing has been appreciated by architects and urban planners for its richness in the emerging global behaviors; however, design and self-organizing are contradictory in principle. It seems that it is inevitable to balance the design and self-organization if self-organization is employed in a design task. There have been approaches combining self-organizing with optimization process in a parallel manner. This experiment strives to regulate a self-organizing system according to non-defined objectives via real-time interaction between the user and the computer. Particularly, cellular automaton is employed as the self-organizing system to model a city district.
  • 关键词:Interactive ; Evolutionary ; Self-organization ; Cellular automata
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