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A model for sector restructuring through genetic algorithm and inverse DEA

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A model for sector restructuring through genetic algorithm and inverse DEA

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Guijarro, F.; Martínez-Gómez, M.; Visbal-Cadavid, D. (2020). A model for sector restructuring through genetic algorithm and inverse DEA. Expert Systems with Applications. 154:1-13. https://doi.org/10.1016/j.eswa.2020.113422

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Título: A model for sector restructuring through genetic algorithm and inverse DEA
Autor: Guijarro, Francisco Martínez-Gómez, Mónica Visbal-Cadavid, Delimiro
Entidad UPV: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Universitat Politècnica de València. Departamento de Economía y Ciencias Sociales - Departament d'Economia i Ciències Socials
Fecha difusión:
Resumen:
[EN] The aim of this study is to devise a sector restructuring model in which all the decision making units (DMUs) satisfy a predefined global efficiency level. The proposal makes several realistic assumptions regarding ...[+]
Palabras clave: Mergers , Restructuring , Inverse data envelopment analysis , Genetic algorithm , Cardinality constraint
Derechos de uso: Reserva de todos los derechos
Fuente:
Expert Systems with Applications. (issn: 0957-4174 )
DOI: 10.1016/j.eswa.2020.113422
Editorial:
Elsevier
Versión del editor: https://doi.org/10.1016/j.eswa.2020.113422
Tipo: Artículo

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