| Abstract |
Ambient Intelligence aims to establish a comfortable and intelligent living environment and make our lives simpler through digital environments that are sensitive, adaptive, and responsive to human needs. My project focuses on developing adaptive Ambient Intelligence systems based on evolutionary algorithms. The key point of my project is making good controllers for ambient intelligence, which could satisfy users collectively and adapt to changes, and as a result give best solutions. The speed of adaptation, however, is a big challenge because users would not like to wait for a long time. I will show some results using evolution strategy in different scenarios and compare them. |