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A Parallel Application of Matheuristics in Data Envelopment Analysis (2019). Springer International Publishing AG, part of Springer Nature, 172–179.

[:es]Martín González (Miguel Hernández University of Elche), José Juan López Espín (Miguel Hernández University of Elche), Juan Aparicio (Miguel Hernández University of Elche) and Domingo Giménez (University of Murcia).
Abstract. Data Envelopment Analysis (DEA) is a non-parametric methodology for estimating technical efficiency and benchmarking. In general, it is desirable that DEA generates the efficient closest targets as benchmarks for each assessed unit. […]