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Evolutionary Adaptive Radiation Principles Used for Building Facade Optimization

The growing amount of carbon emission from building sector due to insufficient high-performance design has been contributing to the CO2 issue in the United States. One reason is lacking of energy performance optimization at the early design stage. In building optimization problem, there are numerous optimal design variables have to be achieved. It is necessary to reduce the optimization computation time so the workflow of the initial design process is not hampered. This paper introduces an analogy of “adaptive radiation” (AR), a principle known in evolution of ecological diversity, which describes the process how a single ancestor diverges into an array of species that are adapted to a variety of environments. The principle of AR is implemented in simulation-based optimization process with the goal of reducing the computation time. A case study of office building façade is presented. The efficiency, in terms of robustness and computation time of the AR algorithm, has been compared to the efficiency of the sole use of GA. Results demonstrated that AR can solve the optimization problems with significantly less computation time than GA.