Skip to Main content Skip to Navigation
Conference papers

A parameterized scheme of metaheuristics with exact methods for determining the principle of least action in Data Envelopment Analysis

Abstract : Data Envelopment Analysis (DEA) is a nonparametric methodology for estimating technical efficiency of a set of Decision Making Units (DMUs) from a dataset of inputs and outputs. This paper is devoted to computational aspects of DEA models under the application of the Principle of Least Action. This principle guarantees that the efficient closest targets are determined as benchmarks for each assessed unit. Usually, these models have been addressed in the literature by applying unsatisfactory techniques, based fundamentally on combinatorial NP-hard problems. Recently, some heuristics have been developed to partially solve these DEA models. This paper improves the heuristic methods used in previous works by applying a combination of metaheuristics and an exact method. Also, a parameterized scheme of metaheuristics is developed in order to implement metaheuristics and hybridations/combinations, adapting them to the particular problem proposed here. In this scheme, some parameters are used to study several types of metaheuristics, like Greedy Random Adaptative Search Procedure, Genetic Algorithms or Scatter Search. The exact method is included inside the metaheuristic to solve the particular model presented in this paper. A hyperheuristic is used on top of the parameterized scheme in order to search, in the space of metaheuristics, for metaheuristics that provide solutions close to the optimum. The method is competitive with exact methods, obtaining fitness close to the optimum with low computational time.
Document type :
Conference papers
Complete list of metadatas

https://hal.inria.fr/hal-01654836
Contributor : Talbi El-Ghazali <>
Submitted on : Monday, December 4, 2017 - 2:23:25 PM
Last modification on : Thursday, May 28, 2020 - 9:22:09 AM

Identifiers

Collections

Citation

Martin Gonzalez-Rodriguez, Juna-José Lopez-Espin, El-Ghazali Talbi, Juan Aparicio. A parameterized scheme of metaheuristics with exact methods for determining the principle of least action in Data Envelopment Analysis. CEC 2017 - IEEE Congress of Evolutionary Algortihms, Jun 2017, San Sebastien, Spain. pp.588-595, ⟨10.1109/CEC.2017.7969364⟩. ⟨hal-01654836⟩

Share

Metrics

Record views

325