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The design of room automation systems is a challenging task with growing complexity and a high optimization potential. On the market, a high number of prefabricated devices from different manufacturers is available for a large variety of functions. This leads to a high number of device combinations and many design variants respectively, that should optimally realize the requirements. To overcome this problem, an efficient and scalable solution method is needed, that can create multi-vendor designs with high quality. In this paper, a method that deals successfully with this objective is presented including test results. With the abstract design of the system and additional requirements given, it can synthesize optimal multivendor system designs by using an efficient evolutionary algorithm with directed operations.

This paper introduces a generic framework that is designed to solve complex system design problems by means of optimization approaches. The framework design is made up of components that are responsible for distinct tasks that communicate by extension points. These extension points are for problem specification and setup, different algorithm workflows, display of plots, optimization statistics, display and export of solutions based on a specified representation, and automated performance analysis. Due to the component-based design, the framework allows the definition of customized problem representations with corresponding problem-specific algorithm operations and different solving algorithms, algorithm operations with a flexible execution order by inheritance property. The framework is tested to solve the design problem of building automation systems with different algorithms and problem-specific algorithm operations to compute optimized system designs.

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