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The planning and design of building automation systems is a time consuming, error prone and nowadays more and more expensive task, consisting of a lot of repeated manual design steps done by specialized engineers. To reduce the engineering costs for such systems, the authors present a new automated top-down design approach within this paper. A knowledge-based system supports the planner at the requirement analysis by means of a guided dialog. Subsequently, the complete automation system is automatically designed in two steps. The abstract design proceeds a design based on platform- and manufacturer-independent function blocks via generative programming. The detailed design replaces the function blocks by platform- and manufacturer-specific profiles by means of evolutionary techniques.