This paper introduces ARCH-Elites, a MAP-Elites implementation that can reconfigure large-scale urban layouts at real-world locations via a pre-trained surrogate model instead of costly simulations. In a series of experiments, we generate novel urban designs for two real-world locations in Boston, Massachusetts. Combining the exploration of a possibility space with real-time performance evaluation creates a powerful new paradigm for architectural generative design that can extract and articulate design intelligence.
翻译:本文介绍ARCH-Elites,这是一个MAP-Eliites实施项目,它可以通过预先培训的替代模型而不是昂贵的模拟模型重新配置真实世界地点的大规模城市布局。 在一系列实验中,我们为马萨诸塞州波士顿的两个真实世界地点制作了新的城市设计。 将探索可能的空间与实时性能评估结合起来,为能够提取和表达设计智能的建筑特质设计设计创建了强大的新模式。