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A metaheuristic for a numerical approximation to the mass transfer problem Cover

Abstract

This work presents an improvement of the approximation scheme for the Monge-Kantorovich (MK) mass transfer problem on compact spaces, which is studied by Gabriel et al. (2010), whose scheme discretizes the MK problem, reduced to solve a sequence of finite transport problems. The improvement presented in this work uses a metaheuristic algorithm inspired by scatter search in order to reduce the dimensionality of each transport problem. The new scheme solves a sequence of linear programming problems similar to the transport ones but with a lower dimension. The proposed metaheuristic is supported by a convergence theorem. Finally, examples with an exact solution are used to illustrate the performance of our proposal.

DOI: https://doi.org/10.1515/amcs-2016-0053 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 757 - 766
Submitted on: Dec 9, 2016
Accepted on: Aug 10, 2016
Published on: Dec 30, 2016
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2016 Martha L. Avendaño-Garrido, José R. Gabriel-Argüelles, Ligia Quintana-Torres, Efrén Mezura-Montes, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.