Black-Box Optimization for Buildings and Its Enhancement by Advanced Communication Infrastructure

0423196 - ÚTIA 2014 RIV PT eng J - Journal Article
Macek, Karel - Rojíček, J. - Kontes, G. - Rovas, D. V.
Black-Box Optimization for Buildings and Its Enhancement by Advanced Communication Infrastructure.
Advances in Distributed Computing and Artificial Intelligence Journal. Roč. 1, č. 5 (2013), s. 53-64. ISSN 2255-2863
R&D Projects: GA ČR GA13-13502S
Institutional support: RVO:67985556
Keywords : Evolutionary algorithms * Black box modeling * Simplification * Refining * HVAC * Load shedding * Communication infrastructure
Subject RIV: BC - Control Systems Theory
http://library.utia.cas.cz/separaty/2014/AS/macek-0423196.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0231499