Optimization methods based on decision diagrams for constraint programming, AI planning, and mathematical programming

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dc.catalogadorjlo
dc.contributor.authorCastro Anich, Margarita
dc.date.accessioned2023-09-26T19:04:07Z
dc.date.available2023-09-26T19:04:07Z
dc.date.issued2023
dc.description.abstractDecision diagrams (DDs) are graphical structures that can be used to solve discrete optimization problems by representing the set of feasible solutions as paths in a graph. This graphical encoding of the feasibility set can represent complex combinatorial structures and is the foundation of several novel optimization techniques. Due to their flexibility, DDs have become an attractive optimization tool for researchers in different fields, including operations research and computer science.
dc.fechaingreso.objetodigitalNo aplica
dc.fuente.origenSIPA
dc.identifier.doi10.1007/s10601-023-09353-4
dc.identifier.eissn1572-9354
dc.identifier.issn1383-7133
dc.identifier.urihttps://doi.org/10.1007/s10601-023-09353-4
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/74700
dc.information.autorucEscuela de Ingeniería; Castro Anich, Margarita; 0000-0002-4689-6143; 170767
dc.language.isoen
dc.nota.accesoSin adjunto
dc.revistaConstraints
dc.rightsregistro bibliográfico
dc.subjectOptimización matemática.
dc.subjectInteligencia artificial
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.titleOptimization methods based on decision diagrams for constraint programming, AI planning, and mathematical programming
dc.typeartículo
sipa.codpersvinculados170767
sipa.trazabilidadORCID;2023-09-25
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