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dc.contributor.authorFonseca Casas, Pau
dc.contributor.authorFonseca Casas, Antoni
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.identifier.citationFonseca, P., Fonseca, A. Combining formal definition of a simulation model with heuristics to improve building sustainability. A: Winter Simulation Conference. "Winter Simulation Conference 2018 (WSC): Gothenburg, Sweden: december 9-12: proceedings". 2018, p. 1-12.
dc.description.abstractSustainability is related with environmental, social and economic variables. Each one of these areas is, by itself, complex due to the huge number of factors that one must analyze. Because of the combination of the levels with the factors, and the needed replications, an exponential growth in the number of executions appears. In this paper we describe a methodology that helps us to deal with this complexity applying three key concepts, formal representation of simulation models, optimization algorithms and high-performance computing. We present an infrastructure named NECADA that supports the methodology. This approach can be applied to a building refurbishment or to define optimal parameters in new buildings. The specialists work with the conceptual model, and from it with the system; following the method, they will be able to find optimal scenarios using a selection of build-in heuristics that can be applied for the problem resolution.
dc.format.extent12 p.
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Programació matemàtica
dc.subject.lcshNumerical analysis--Simulation methods
dc.subject.lcshProgramming (Mathematics)
dc.titleCombining formal definition of a simulation model with heuristics to improve building sustainability
dc.typeConference report
dc.subject.lemacAnàlisi numèrica
dc.subject.lemacProgramació (Matemàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. IMP - Information Modeling and Processing
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations
dc.subject.amsClassificació AMS::90 Operations research, mathematical programming::90C Mathematical programming
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorFonseca, P.; Fonseca, A.
local.citation.contributorWinter Simulation Conference
local.citation.publicationNameWinter Simulation Conference 2018 (WSC): Gothenburg, Sweden: december 9-12: proceedings

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