ARCH-Elites: Quality-Diversity for Urban Design
Neural and Evolutionary Computing
2021-04-20 v1 Human-Computer Interaction
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.
Keywords
Cite
@article{arxiv.2104.08774,
title = {ARCH-Elites: Quality-Diversity for Urban Design},
author = {Theodoros Galanos and Antonios Liapis and Georgios N. Yannakakis and Reinhard Koenig},
journal= {arXiv preprint arXiv:2104.08774},
year = {2021}
}
Comments
Published at Genetic and Evolutionary Computation Conference Companion, 2021, 2 pages, 1 figure