A review of artificial intelligence methodologies in computational automated generation of high performance floorplans

Abstract

Abstract AI-driven energy-efficient floorplan generation is a transformative tool addressing energy challenges in building design driven by climate change, carbon emissions, and rising energy demands. This review explores Automated Floorplan Generation with Energy Efficiency Optimization (AFG-EEO) methodologies, integrating design generation, performance evaluation, and optimization to streamline architectural processes. It highlights gaps in methods, emphasizing user-centric enhancements, architect involvement, and future directions to improve methodologies, offering researchers, practitioners, and stakeholders valuable foresight.

Topics & Concepts