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Estañ, T., Llorca, N., Martínez, R., Sánchez-Soriano, J. (2021) «On the Difficulty of Budget Allocation in Claims Problems with Indivisible Items and Prices», Group Decision and Negotiation, 30 (5):1133–1159

Teresa Estañ, Natividad Llorca, Joaquín Sánchez (Operations Research Center, University Miguel Hernández of Elche) and Ricardo Martínez (Departmento de Teoría e Historia Económica, Universidad de Granada)
Abstract: In this paper we study the class of claims problems where the amount to be divided is perfectly divisible and claims are made on indivisible units of several items. […]

Martínez, R., Sánchez-Soriano, J. (2021) «Mathematical indices for the influence of risk factors on the lethality of a disease», Journal of Mathematical Biology, 83 (6-7):74

Ricardo Martínez (Departmento de Teoría e Historia Económica, Universidad de Granada) and Joaquín Sánchez (Operations Research Center, University Miguel Hernández of Elche)
Abstract: We develop a theoretical model to measure the relative relevance of different pathologies of the lethality of a disease in society. This approach allows a ranking of diseases to be determined, which can […]

Sainz-Pardo, J.L., Valero, J. (2021) «COVID-19 and other viruses: Holding back its spreading by massive testing», Expert Systems with Applications, 186:115710

José Luis Sainz-Pardo and José Valero (Operations Research Center, University Miguel Hernández of Elche)
Abstract: The experience of Singapore and South Korea makes it clear that under certain circumstances massive testing is an effective way for containing the advance of the COVID-19. In this paper, we propose a modified SEIR model which takes into account tracing […]

Sainz-Pardo, J.L. (2021) «Linear regression strategy for differential evolution», GECCO 2021 Companion – Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, 19–20

José Luis Sainz-Pardo (Operations Research Center, University Miguel Hernández of Elche)
Abstract: A new Differential Evolution algorithm is proposed which incorporates a linear regression strategy to find the best single-objective optimization solution. Furthermore, this algorithm contemplates directional information and classical chromosome conservation strategies. Its main motivation is to be used in problems in which it is […]

Ruiz, J.L., Sirvent, I. (2021) «Searching for alternatives to the closest targets: Identifying new directions for improvement while controlling additional efforts», Journal of the Operational Research Society, 72 (12):2770–2782

José Luis Ruiz and Inmaculada Sirvent (Operations Research Center, University Miguel Hernández of Elche)
Abstract: Setting the closest targets is an appropriate approach for planning. Closest targets minimize the gap between actual performances and best practices, so they are the ones that require the least effort from organizations for their achievement. However, this paper shows that, […]

Zaragozí, B., Rodríguez-Sala, J.J., Trilles, S., Ramón-Morte, A. (2021) «Integration of New Data Layers to Support the Land Cover and Use Information System of Spain (SIOSE): An Approach from Object-Oriented Modelling», 6th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2020, Communications in Computer and Information Science, 1411:85–101

Benito Zaragozí (Departament de Geografia, Universitat Rovira i Virgili), Jesús Javier Rodríguez (Operations Research Center, University Miguel Hernández of Elche), Sergio Trilles(Institute of New Imaging Technologies, Universitat Jaume I) and Alfredo Ramón (Instituto Interuniversitario de Geografia, Universidad de Alicante)
Abstract: Land use and land cover (LULC) information is essential in territorial planning for the study of […]

Orenes, Y., Rabasa, A., Rodriguez-Sala, J.J., Sanchez-Soriano, J. (2021) «Benchmarking analysis of the accuracy of classification methods related to entropy», Entropy, 23 (7):850

Yolando Orenes, Alejandro Rabasa, Jesús Javier Rodríguez and Joaquín Sánchez (Operations Research Center, University Miguel Hernández of Elche) 
Abstract: In the machine learning literature we can find numerous methods to solve classification problems. We propose two new performance measures to analyze such methods. These measures are defined by using the concept of proportional reduction of classification […]

Mollá-Campello, N., Polotskaya, K., Sobrino, E., Navarro, T., Rabasa, A. (2021) «Social Vulnerability Segmentation Methodology Based on Key Performance Indicators», World Conference on Information Systems and Technologies, WorldCIST 2021, Advances in Intelligent Systems and Computing, 1366 AISC, 315–323

Nuria Mollá, Kristina Polotskaya, Esther Sobrino, Alejandro Rabasa (Operations Research Center, University Miguel Hernández of Elche) and Teresa Navarro (Red Cross Spain – Valencian Community)
Abstract: Detecting social vulnerability is a complex process that involves many personal and environmental factors to take into account. In this paper, a new methodology is proposed to detect which individuals […]

Esteve, M., Mollá-Campello, N., Rodríguez-Sala, J.J., Rabasa, A. (2021) «The Effects of Abrupt Changing Data in CART Inference Models», World Conference on Information Systems and Technologies, WorldCIST 2021, Advances in Intelligent Systems and Computing, 1366 AISC, 214–223

Miriam Esteve, Nuria Mollá, Jesús Javier Rodríguez and Alejandro Rabasa (Operations Research Center, University Miguel Hernández of Elche)
Abstract: The continuous input of data into an Information System makes it difficult to generate a reliable model when this stream changes unpredictably. This continuous and unexpected change of data, known as concept drift, is faced by different […]