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Listar por autor "Jiménez-Cordero, María Asunción"
Mostrando ítems 1-11 de 11
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A data-based approach for solving the Rank Pricing Problem.
The Rank Pricing Problem is a challenging mixed-integer optimization problem. It aims to determine the optimal pricing strategies of a set of products ranked by customer preferences. Given its NP-hard nature, existing ... -
A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification
Jiménez-Cordero, María Asunción; Morales-González, Juan Miguel; Pineda-Morente, Salvador (Elsevier, 2021)In recent years, feature selection has become a challenging problem in several machine learning fields, such as classification problems. Support Vector Machine (SVM) is a well-known technique applied in classification ... -
Aprendizaje Supervisado: Métodos, Propiedades y Aplicaciones
Valenzuela González, Gema (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 ... -
Automatic feature scaling and selection for support vector machine classification with functional data.
Jiménez-Cordero, María Asunción; Maldonado-Alarcón, Sebastián (Springer Nature, 2020)Functional Data Analysis (FDA) has become a very important field in recent years due to its wide range of applications. However, there are several real-life applications in which hybrid functional data appear, i.e., data ... -
Cost-driven screening of network constraints for the unit commitment problem
Porras, Álvaro; Pineda-Morente, Salvador; Morales-González, Juan Miguel; Jiménez-Cordero, María Asunción (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 ... -
Data-Driven Screening of Network Constraints for Unit Commitment
Pineda-Morente, Salvador; Morales-González, Juan Miguel; Jiménez-Cordero, María Asunción (IEEE Xplore, 2020)The transmission-constrained unit commitment (TC-UC) problem is one of the most relevant problems solved by independent system operators for the daily operation of power systems. Given its computational complexity, this ... -
Desigualdades válidas en programación con variables enteras. Aplicación al problema de la mochila.
Albacete Maza, Lourdes (2023)La programación lineal con variables enteras es una herramienta fundamental en la actualidad debido a su versatilidad en una amplia variedad de disciplinas. Sin embargo, la resolución de este tipo de problemas no es una ... -
Learning‑assisted optimization for transmission switching
Pineda-Morente, Salvador; Morales-González, Juan Miguel; Jiménez-Cordero, María Asunción (Springer, 2024-04)The design of new strategies that exploit methods from machine learning to facilitate the resolution of challenging and large-scale mathematical optimization problems has recently become an avenue of prolific and promising ... -
Selección de variables en máquinas de vectores soporte.
Gómez-Cuevas, Antonio Luis (2024)En los últimos años, ha cobrado especial importancia la predicción de resultados basándose en la información proporcionada por datos, siendo uno de sus mayores exponentes el aprendizaje supervisado. Dos aspectos esenciales ... -
Warm-starting constraint generation for mixed-integer optimization: A Machine Learning approach
Jiménez-Cordero, María Asunción; Morales-González, 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
Jiménez-Cordero, María Asunción; Morales-González, 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 ...