基于生成对抗网络GAN)和NSGA-2遗传算法的汉口滨江居住区采光优化研究
摘要：随着人工智能技术在各个领域的广泛运用,越来越多的设计人员开始尝试将人工智能技术的成果运用到城市或建筑设计当中。通过汉口滨江居住区城市数据和人工智能技术控制区域三维模型的合理生成,并对整体区域建筑环境进行环境模拟,达到居住区布局及造型的优化设计的目的,最后通过优化设计案例为设计师提供设计建议。
关键词：深度学习生成对抗网络NSGA-2遗传算法居住区改造日照模拟优化设计
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[4] 吴志强.人工智能辅助城市规划[J].时代建筑,2018(1):6-11.
[5] Yao J,Huang C,Peng X,et al.Generative design method of building groupBased on generative adversarial network and genetic algorithm[C].Projections,Proceedings of the26th International Conference of the Association for Computer-Aided Architectural Design Research in Asia(CAADRIA).2021,1:61-70.
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[14] Srinivas N,Deb K.Multi objeotive optimization using nondominated sorting in genetic algorithms[J].Evolutionary Computatio n,1994,2(3):221-248.
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