Automated design of room automation systems by using an evolutionary optimization method

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 multi-vendor system designs by using an efficient evolutionary algorithm with directed operations.

[1]  Franz Rothlauf,et al.  Representations for genetic and evolutionary algorithms , 2002, Studies in Fuzziness and Soft Computing.

[2]  John R. Koza,et al.  Routine high-return human-competitive evolvable hardware , 2004, Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004..

[3]  Klaus Kabitzsch,et al.  Integrated automated design approach for building automation systems , 2008, 2008 IEEE International Conference on Emerging Technologies and Factory Automation.

[4]  R. K. Ursem.  Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[5]  John R. Koza,et al.  Automated synthesis of analog electrical circuits by means of genetic programming , 1997, IEEE Trans. Evol. Comput..

[6]  Steven T. Bushby,et al.  GSA Guide to Specifying Interoperable Building Automation and Control Systems Using ANSI/ASHRAE Standard 135-1995, BACnet , 1999 .

[7]  L. Stein,et al.  OWL Web Ontology Language - Reference , 2004 .

[8]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[9]  John McCarthy,et al.  Recursive functions of symbolic expressions and their computation by machine, Part I , 1960, Commun. ACM.

[10]  K. Kabitzsch,et al.  Semantic device descriptions based on standard Semantic Web technologies , 2008, 2008 IEEE International Workshop on Factory Communication Systems.

[11]  Klaus Kabitzsch,et al.  Generation of function block based designs using Semantic Web technologies , 2009, 2009 IEEE Conference on Emerging Technologies & Factory Automation.

[12]  Kalyanmoy Deb,et al.  A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II , 2000, PPSN.