ARCH-Elites: Quality-Diversity for Urban Design

04/18/2021
by   Theodoros Galanos, et al.
0

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.

READ FULL TEXT
research
12/13/2022

Generative methods for Urban design and rapid solution space exploration

Rapid population growth and climate change drive urban renewal and urban...
research
07/07/2020

MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement

Deep generative models have proven useful for automatic design synthesis...
research
04/03/2022

UrbanFlow: Designing Comfortable Outdoor Areas

Design decisions in urban planning have to be made with particular caref...
research
06/27/2017

Way to Go! Automatic Optimization of Wayfinding Design

Wayfinding signs play an important role in guiding users to navigate in ...
research
07/22/2020

Dynamic Pooled Capacity Deployment for Urban Parcel Logistics

Last-mile logistics is regarded as an essential yet highly expensive com...
research
05/24/2022

Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning

We propose and demonstrate a new approach for fast and accurate surrogat...
research
10/23/2022

Symmetry and Variance: Generative Parametric Modelling of Historical Brick Wall Patterns

This study integrates artificial intelligence and computational design t...

Please sign up or login with your details

Forgot password? Click here to reset