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- W2000855103 abstract "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." @default.
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- W2000855103 date "2008-01-01" @default.
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- W2000855103 title "Co-Evolutionary and Co-Existent Formation of Architectural Spaces using a Multiple Optimization System" @default.
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- W2000855103 doi "https://doi.org/10.1299/jcst.2.371" @default.
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