CIB Conferences
Abstract
The challenge of optimizing design in the built environment lies in evaluating a wide range of potential options to achieve sustainable, efficient, and cost-effective outcomes over the lifecycle of assets. Traditional methods struggle to generate and assess multiple design alternatives, limiting optimization effectiveness. Generative Systems Modeling (GSM) offers a promising approach by creating diverse, data-driven design options automatically. This literature review explores GSM’s use in built environment optimization, focusing on its objectives, processes, and applications, while identifying trends and areas for future development to enhance its impact on construction and infrastructure projects.
The paper will be presented:
Online
Primary U.N. Sustainable Development Goals (SDG)
Industry, Innovation and Infrastructure - - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Secondary U.N. Sustainable Development Goals (SDG)
Sustainable Cities and Communities - - Make cities and human settlements inclusive, safe, resilient and sustainable
Primary CIB Task Group OR Working commission
TG96 – Accelerating Innovation in Construction
Secondary CIB Task Group OR Working commission
W119 – Customised Industrial Construction
Recommended Citation
Calma, Jose Paolo Gregorio A.; Martani, Claudio; and Dib, Hazar
(2025)
"State-of-the-art in the use of Generative System Models in the Built Environment,"
CIB Conferences: Vol. 1
Article 282.
DOI: https://doi.org/10.7771/3067-4883.1742