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Bibliografie

Journal Article

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

Macek Karel, Rojíček J., Kontes G., Rovas D. V.

: Advances in Distributed Computing and Artificial Intelligence Journal vol.1, 5 (2013), p. 53-64

: GA13-13502S, GA ČR

: Evolutionary algorithms, Black box modeling, Simplification, Refining, HVAC, Load shedding, Communication infrastructure

: http://library.utia.cas.cz/separaty/2014/AS/macek-0423196.pdf

(eng): 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.

: BC

07.01.2019 - 08:39