Improving thermal performance of automatically generated floor plans using a geometric variable sequential optimization procedure

This paper presents an approach for the optimization of floor plan designs. These are generated using a hybrid evolutionary approach, which produces alternative designs according to the user’s preferences and requirements. Once generated, an optimization algorithm is used to improve the thermal performance of each solution. The algorithm evaluates each possible transformation for several design variables in each floor plan, such as floor plan orientation and reflection, window orientation and size, overhang size, fin size, and wall translation. A geometric variable sequential optimization procedure is used to satisfy the user’s design strategy.