ARCH-Elites: quality-diversity for urban design

By Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis, Reinhard Koenig. 2021

18 citations recorded by the source corpus.

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.

Subfields: Architecture, Building and Construction, Evolutionary Computation

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In Evolutionary Computation

1. Julian Togelius
2. Georgios N. Yannakakis

Citations in the corpus

• Choose Your Weapon: Survival Strategies for Depressed AI Academics (2023, background): “Another example is a recent collaboration of one of the authors with urban designers resulting in the reconstruction of urban areas around MIT and Harvard for improving the comfort levels of Bostonians [5].”