
- RIUMA Principal
- Investigación
- Análisis Matemático, Estadística e Investigación Operativa y Matematica Aplicada - (AM)
- Listar Análisis Matemático, Estadística e Investigación Operativa y Matematica Aplicada - (AM) por autor
Listar Análisis Matemático, Estadística e Investigación Operativa y Matematica Aplicada - (AM) por autor "Jiménez-Cordero, María Asunción"
Mostrando ítems 1-5 de 5
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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 ... -
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 ... -
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 ... -
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 ...