State-of-the-art in the use of Generative System Models in the Built Environment

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.