@article{discovery10063077,
       publisher = {Universidad de Salamanca},
           month = {August},
          volume = {2013},
           pages = {53--64},
            note = {The Advances in Distributed Computing and Artificial Intelligence Journal is an open access journal under Creative Commons 3.0 license.},
         journal = {ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal)},
            year = {2013},
           title = {Black-box Optimisation for Buildings and Its Enhancement by Advanced Communication Infrastructure},
        keywords = {Evolutionary algorithms, Black box modeling, Simplification, Refining, Building control, HVAC, Load shedding, Communication infrastructure},
          author = {Macek, K and Rojicek, J and Kontes, GD and Rovas, D},
             url = {http://revistas.usal.es/index.php/2255-2863/article/view/ADCAIJ2013255364/10828},
        abstract = {The solution of repeated fixed-horizon trajectory optimization problems of
processes that are either too difficult or too complex to be described by physicsbased
models can pose formidable challenges. Very often, soft-computing
methods - e.g. black-box modeling and evolutionary optimization - are used.
These approaches are ineffective or even computationally intractable for
searching high-dimensional parameter spaces. In this paper, a structured
iterative process is described for addressing such problems: the starting point is
a simple parameterization of the trajectory starting with a reduced number of
parameters; after selection of values for these parameters so that this simpler
problem is covered satisfactorily, a refinement procedure increases the number
of parameters and the optimization is repeated. This continuous parameter
refinement and optimization process can yield effective solutions after only a few
iterations. To illustrate the applicability of the proposed approach we
investigate the problem of dynamic optimization of the operation of HVAC
(heating, ventilation, and air conditioning) systems, and illustrative simulation
results are presented. Finally, the development of advanced communication and
interoperability components is described, addressing the problem of how the
proposed algorithm could be deployed in realistic contexts.},
            issn = {2255-2863}
}