ARCH-Elites: Quality-Diversity for Urban Design
Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis and, Reinhard Koenig

TL;DR
ARCH-Elites leverages a pre-trained surrogate model within a MAP-Elites framework to efficiently generate and evaluate large-scale urban layouts for real-world locations, advancing architectural generative design.
Contribution
This work introduces ARCH-Elites, a novel approach integrating surrogate models with MAP-Elites for scalable, real-time urban design optimization in real-world settings.
Findings
Successfully generated novel urban layouts for Boston locations
Demonstrated real-time performance evaluation capability
Showcased potential for scalable architectural design exploration
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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