In order to improve the user acceptance of an automatic shading device controller, user wishes concerning the blind position are learned and integrated in the automatic controller through an innovative adaptation system developed with the use of Genetic Algorithms. Simulations with virtual users have shown learning and anticipating capabilities of the system. This paper explains in detail the adaptation process and shows one typical example of simulation results.
Application of genetic algorithms to adapt an energy efficient shading device controller to the user wishes
23rd AIVC and EPIC 2002 Conference (in conjunction with 3rd European Conference on Energy Performance and Indoor Climate in Buildings) "Energy efficient and healthy buildings in sustainable cities", Lyon, France, 23-26 October 2002