A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy

Osaba, Eneko, Yang, Xin-She ORCID logoORCID: https://orcid.org/0000-0001-8231-5556, Diaz, Fernando, Onieva, Enrique, Masegosa, Antonio D. and Perallos, Asier (2017) A discrete firefly algorithm to solve a rich vehicle routing problem modelling a newspaper distribution system with recycling policy. Soft Computing, 21 (18) . pp. 5295-5308. ISSN 1432-7643 [Article] (doi:10.1007/s00500-016-2114-1)

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Abstract

A real-world newspaper distribution problem with recycling policy is tackled in this work. In order to meet all the complex restrictions contained in such a problem, it has been modeled as a rich vehicle routing problem, which can be more specifically considered as an asymmetric and clustered vehicle routing problem with simultaneous pickup and deliveries, variable costs and forbidden paths (AC-VRP-SPDVCFP). This is the first study of such a problem in the literature. For this reason, a benchmark composed by 15 instances has been also proposed. In the design of this benchmark, real geographical positions have been used, located in the province of Bizkaia, Spain. For the proper treatment of this AC-VRP-SPDVCFP, a discrete firefly algorithm (DFA) has been developed. This application is the first application of the firefly algorithm to any rich vehicle routing problem. To prove that the proposed DFA is a promising technique, its performance has been compared with two other well-known techniques: an evolutionary algorithm and an evolutionary simulated annealing. Our results have shown that the DFA has outperformed these two classic meta-heuristics.

Item Type: Article
Research Areas: A. > School of Science and Technology > Design Engineering and Mathematics
Item ID: 19286
Notes on copyright: This is a post-peer-review, pre-copyedit version of an article published in Soft Computing. The final publication is available at Springer via http://dx.doi.org/10.1007/s00500-016-2114-1
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Depositing User: Xin-She Yang
Date Deposited: 14 Apr 2016 12:59
Last Modified: 07 Jun 2022 13:41
URI: https://eprints.mdx.ac.uk/id/eprint/19286

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