[language-switcher]

Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length, Entropy 2019, 21(7), 713.

[:es]Yoshito Hirata (The University of Tokyo and University of Tsukuba), Masanori Shiro (University  National Institute of Advanced Industrial Science and Technology, Japan) and José M. Amigó (University Miguel Hernández of Elche).
Abstract. We propose a method for generating surrogate data that preserves all the properties of ordinal patterns up to a certain length, such as the numbers of allowed/forbidden […]

Multi-objective evolutionary algorithms for a reliability location problem, European Journal of Operational Research (2019)

[:es] Javier Alcaraz (University Miguel Hernández of Elche), Mercedes Landete (University Miguel Hernández of Elche), Juan F. Monge (University Miguel Hernández of Elche) and José L. Sainz-Pardo (University Miguel Hernández of Elche).
Abstract. Some location problems with unreliable facilities present two different objectives, one consisting of minimizing the opening and transportation costs if none of the facilities fail and another […]

Seminario El-ghazali Talbi: How machine learning can help optimization

 
El-ghazali Talbi en el CIO el pasado 29 de noviembre. | Foto: Inma López
El pasado viernes 29 de noviembre, estudiantes y profesores de la Universidad Miguel Hernández de Elche pudieron disfrutar del seminario «How machine learning can help optimization» impartido por el profesor e investigador de  Polytech’Lille – University of Lille, El-ghazali Talbi.
¿Cuál es el principal […]

Seminario Martine Labbé

[:es]Título: Bilevel optimization and pricing problems
Ponente: Martine Labbé (Université Libre de Bruxelles)
Organizador:   Mercedes Landete
Fecha: Jueves 12 de diciembre a las 11:00 horas.
Lugar:  Aulas 0.1 y 0.2 del Edificio Torretamarit, Universidad Miguel Hernández (Campus de Elche)
Resumen: A bilevel optimization problem consists in an optimization problem in which some of the constraints specify that a subset of variables must be an optimal […]