ARCH-Elites: Quality-Diversity for Urban Design
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Abstract (arXiv)
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.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Apr 2021.
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Citing papers per year: 2022: 1; 2023: 3; 2024: 1; 2025: 0; 2026: 1.
6 papers.
- 2023pyribs: A Bare-Bones Python Library for Quality Diversity Optimizationcited by 29
- 2023Architext: Language-Driven Generative Architecture Designcited by 5
- 2023Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domainscited by 3
- 2024Generative Design through Quality-Diversity Data Synthesis and Language Modelscited by 3
- 2026Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spacescited by 1
- 2022Curiosity creates Diversity in Policy Searchcited by 0
- 2026Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces3 Jan 2026
- 2024Generative Design through Quality-Diversity Data Synthesis and Language Models16 May 2024
- 2023Don't Bet on Luck Alone: Enhancing Behavioral Reproducibility of Quality-Diversity Solutions in Uncertain Domains7 Apr 2023
- 2023Architext: Language-Driven Generative Architecture Design13 Mar 2023
- 2023pyribs: A Bare-Bones Python Library for Quality Diversity Optimization1 Mar 2023
- 2022Curiosity creates Diversity in Policy Search7 Dec 2022