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[:es]Laureano F. Escudero (Rey Juan Carlos University of Madrid), M. Araceli Garín (University of País Vasco), Juan F. Monge (Miguel Hernández University of Elche) and Aitziber Unzueta (University of País Vasco).
Abstract: Two matheuristic decomposition algorithms are introduced. The first one is a Progressive Hedging type so-named Regularized scenario Cluster Progressive Algorithm. The second one is a Frank-Wolfe PH type so-named Regularized […]

[:es]Manuel Franco (University of Murcia), Juana María Vivo (University of Murcia), Manuel Quesada-Martínez (Miguel Hernández University), Astrid Duque-Ramos (University of Antioquia) and Jesualdo Tomás Fernández-Breis (University of Murcia).
Abstract: The development and application of biological ontologies have increased significantly in recent years. These ontologies can be retrieved from different repositories, which do not provide much information about quality aspects of the ontologies. In the […]

[:es]Rocío Hernández-Sanjaime (University Miguel Hernández of Elche), Martín González (University Miguel Hernández of Elche) and Jose J. López-Espín (University Miguel Hernández of Elche)
Abstract: Conventional simultaneous equation models assume that the error terms are serially independent. In some situations, data may present hierarchical or grouped structure and this assumption may be invalid. A new multivariate model referred […]

[:es]Gustavo Bergantiños (University of Vigo), María Gómez-Rúaa (University of Vigo), Natividad Llorca (University Miguel Hernández of Elche), Manuel Pulido (University of Murcia) and Joaquín Sánchez Soriano (University Miguel Hernández of Elche)
Abstract: This paper deals with the problem of allocating costs in set covering situations. In particular, we focus on set covering situations where the optimal […]

[:es]Jacson Simsen (Universidade Federal de Itajubá), Mariza Stefanello Simsen (Universidade Federal de Itajubá) and José Valero (University Miguel Hernández of Elche). 
Abstract: In this work we consider a family of nonautonomous partial differential inclusions governed by p-laplacian operators with variable exponents and large diffusion and driven by a forcing nonlinear term of Heaviside type. We prove first […]

[:es]Jose L. Ruiz (University Miguel Hernández of Elche) and Inmaculada Sirvent (University Miguel Hernández of Elche).
Abstract:  Data envelopment analysis (DEA) is widely used as a benchmarking tool for improving performance of organizations. For that purpose, DEA analyses provide information on both target setting and peer identification. However, the identification of peers is actually a by-product of DEA. DEA models […]