Multi-objective combinatorial optimization for designing room automation systems by using evolutionary algorithms

The domain of building automation consists of system designs with huge complexity, whereas the major part is the room automation designs. These designs are realized by prefabricated devices which are offered by various manufacturers that support a broad spectrum of functions. This results in the problem of choosing a combination of devices which optimally realize the requirements. In this paper, a multi-objective combinatorial optimization method is presented including test results that can automatically generate optimal multi-vendor system designs by using an evolutionary algorithm with problem-specific operations.