Abstract
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.
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CITATION STYLE
Galanos, T., Liapis, A., Yannakakis, G. N., & Koenig, R. (2021). ARCH-Elites: Quality-diversity for urban design. In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion (pp. 313–314). Association for Computing Machinery, Inc. https://doi.org/10.1145/3449726.3459490
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