A multiobjective and interactive genetic algorithm to optimize the building form in early design stages

As simulation researchers in the field of performance-driven architecture, we mainly describe in this paper an interactive genetic algorithm (IGA) especially developed for eco-performance and real-time creative design simulations, associated with a simple and intuitive human machine interface. It has been originally created during the french ANR project EcCoGen dealing with creativity assistance, with the objective of "reducing the gap” between architectural design and current scientific knowledge needed to optimize the building form in early design stage, reduce its energy consumption and bring a real help to the architect’s decisions.