Central Business Districts (CBDs) that have business as its core attribute are facing environmental problems caused by a concentration of population and industries. This model for CBDs should instead be replaced by a model which promotes circular and sustainable development. This project is based on the theory of urban metabolism, and aims to improve the efficiency of urban metabolism and reduce the pressure of economic activities on the environment.

Based on an analysis of the economic sector, environment and human activities in La Défense, we proposed strategies to optimise urban metabolism at both the global and micro level. Cellular automata and genetic algorithms are used for the functional replacement and dismantling of buildings. A material bank is created that stores information and entities from demolished building fragments. Following this, they are assembled into new buildings with the MST algorithm. The vertical connection, openness, function, and shapes of the fragments determine the possibility of a connection between different fragments. Afterwards, we use GAN to generate and optimise the interior space for proper and reasonable use.