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Frontiers of Architectural Research

ISSN 2095-2635

ISSN 2095-2643(Online)

CN 10-1024/TU

Postal Subscription Code 80-966

Front. Archit. Res.    2012, Vol. 1 Issue (4) : 400-404    https://doi.org/10.1016/j.foar.2012.08.002
research-article
Planning meets self-organization: Integrating interactive evolutionary computation with cellular automata for urban planning
Hao Hua()
Zi.014 Tiechestr. 49; Zurich 8037, Switzerland
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Abstract

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.

Keywords Interactive      Evolutionary      Self-organization      Cellular automata     
Corresponding Author(s): Hua Hao,Email:hua@arch.ethz.ch   
Issue Date: 05 December 2012
 Cite this article:   
Hao Hua. Planning meets self-organization: Integrating interactive evolutionary computation with cellular automata for urban planning[J]. Front. Archit. Res., 2012, 1(4): 400-404.
 URL:  
https://academic.hep.com.cn/foar/EN/10.1016/j.foar.2012.08.002
https://academic.hep.com.cn/foar/EN/Y2012/V1/I4/400
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