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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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Title: A model for sector restructuring through genetic algorithm and inverse DEA
Author: Guijarro, Francisco Martínez-Gómez, Mónica Visbal-Cadavid, Delimiro
UPV Unit: 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
Issued date:
Embargo end date: 2022-09-15
Abstract:
[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 ...[+]
Subjects: Mergers , Restructuring , Inverse data envelopment analysis , Genetic algorithm , Cardinality constraint
Copyrigths: Embargado
Source:
Expert Systems with Applications. (issn: 0957-4174 )
DOI: 10.1016/j.eswa.2020.113422
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.eswa.2020.113422
Type: Artículo

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