Blog

Crevillén-García, D., Leung, P.K.b, Rodchanarowan, A., Shah, A.A (2019), "Uncertainty Quantification for Flow and Transport in Highly Heterogeneous Porous Media Based on Simultaneous Stochastic Model Dimensionality Reduction", Transport in Porous Media 126: 79-95

By vicente.pastor01, 6 years19 December, 2019 ago

Crevillén-García, D. Leung, P., Shah, A.A. (2018), "An emulator for kinetic Monte Carlo simulations of kinetically controlled metal electrodeposition", Journal of Physics: Conference Series 1503 (1): Article number 012081

By vicente.pastor01, 6 years19 December, 2019 ago

Crevillén-García, D. (2018), "Surrogate modelling for the prediction of spatial fields based on simultaneous dimensionality reduction of high-dimensional input/output spaces", Royal Society Open Science 5 (4): Article number 171933

By vicente.pastor01, 6 years19 December, 2019 ago

Crevillén-García, D., Wilkinson, R.D., Shah, A.A., Power, H., (2017), "Gaussian process modelling for uncertainty quantification in convectively-enhanced dissolution processes in porous media, 99: 1-14

By vicente.pastor01, 6 years19 December, 2019 ago

Crevillén-García, D., Power, H. (2017), "Multilevel and quasi-monte carlo methods for uncertainty quantification in particle travel times through random heterogeneous porous media", Royal Society Open Science 4 (8): Article number 170203

By vicente.pastor01, 6 years19 December, 2019 ago

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 […]

By vicente.pastor01, 6 years17 December, 2019 ago

Scientific articles

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 […]

By vicente.pastor01, 6 years13 December, 2019 ago

BlogCIO

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 […]

By vicente.pastor01, 6 years4 December, 2019 ago

Publications

Labbé, M., Leal, M., Puerto, J. (2019) "New models for the location of controversial facilities: A bilevel programming approach", Computers and Operations Research, 107 : 95-106

By salonso, 6 years3 December, 2019 ago

Eventos

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 […]

By vicente.pastor01, 6 years29 November, 2019 ago

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