Thermal performance of building envelope is acquired a great deal of global interest. Recently,
algorithms are used in architecture for generating inspired shapes from nature which could
effect on thermal performance. The research investigates an architectural design Methodology
based on a “Modeling-Simulation-Optimization” framework to control the thermal performance
of the building envelope. The design of a parametric building envelope is optimized by
biomimetic algorithms such as genetic algorithms to minimize the thermal performance. It
explores the possibilities of Enhancing the thermal performance of the building envelope by
reducing the total thermal loads of a proposed unit in an office building. Results demonstrate
that the total thermal loads are decreased from 366.36 KWh to 319.98 KWh which is about 12.65%
less than the total thermal loads of the default state before the optimization process. Finally,
possible configurations of the building envelope are presented to enhance thermal performance
in real architectural design.