Parametric Analysis, Generative Design and Machine Learning in Architectural Practice

Let these cutting-edge tools revolutionise your architectural problem-solving

Recent technological advances, including the rapid development of high-performance computing power, have produced computational tools for architects and designers that are swiftly revolutionising the field. Two of these tools, parametric analysis and generative design, can be used together to model complex problems and test solutions with extraordinary speed and efficiency. The next generation of architects and designers will bring these tools to bear in a transformed professional landscape.

Parametric Analysis, Generative Design and Machine Learning in Architectural Practice offers a detailed introduction to these tools and their applications. Balancing theory and practice, it is replete with useful examples and provides algorithms for three different architectural scales: urban design, building design, and interior design. A foundational discussion on machine learning in architectural practice is presented, along with examples of machine learning applications for energy analysis and solar analysis. It is a must-own for architects looking to leverage an unprecedented level of computational power.

The book also includes:

• Detailed guidelines for building performance simulation for energy analysis and daylight analysis
• Algorithms for scales from interiors to buildings to entire cityscapes
• Discussion of how to implement machine learning in order to solve complex problems

Parametric Analysis, Generative Design and Machine Learning in Architectural Practice is ideal for professionals and students at every level looking to diversify their architectural toolkit.