Listar por autor "Jimenez-Cordero, Maria Asuncion"
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Aprendizaje Supervisado: Métodos, Propiedades y Aplicaciones
(2022-09-19)El aprendizaje supervisado se centra en el desarrollo, a partir de un conjunto de datos conocido, de un modelo matemático capaz de predecir el valor correspondiente de un nuevo dato. Estudiaremos la construcción de dichos ... -
Cost-driven screening of network constraints for the unit commitment problem
Porras, Álvaro; Pineda-Morente, Salvador
; Morales-Gonzalez, Juan Miguel; Jimenez-Cordero, Maria Asuncion (The Institute of Electrical and Electronics Engineers (IEEE), 2022-03-16)
In an attempt to speed up the solution of the unit commitment (UC) problem, both machine-learning and optimization-based methods have been proposed to lighten the full UC formulation by removing as many superfluous line-flow ... -
Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach
Jimenez-Cordero, Maria Asuncion; Morales-Gonzalez, Juan Miguel; Pineda-Morente, Salvador (Elsevier, 2022-10-11)
Mixed Integer Linear Programs (MILP) are well known to be NP-hard (Non-deterministic Polynomial-time hard) problems in general. Even though pure optimization-based methods, such as constraint generation, are guaranteed to ... -
Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach
Jimenez-Cordero, Maria Asuncion; Morales-Gonzalez, Juan Miguel; Pineda-Morente, Salvador (Elsevier, 2022-10-11)
Mixed Integer Linear Programs (MILP) are well known to be NP-hard (Non-deterministic Polynomial-time hard) problems in general. Even though pure optimization-based methods, such as constraint generation, are guaranteed to ...