Comparative analysis of granular neighborhoods in a Tabu Search for the vehicle routing problem with heterogeneous fleet and variable costs (HFVRP)

John Wilmer Escobar; Wilson Adarme-Jaimes; Nicolás Clavijo-Buriticá

doi:10.19053/01211129.v26.n46.2017.7321

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Escobar, J. W., Adarme-Jaimes, W., & Clavijo-Buriticá, N. (2017). Comparative analysis of granular neighborhoods in a Tabu Search for the vehicle routing problem with heterogeneous fleet and variable costs (HFVRP). Revista Facultad de Ingeniería, 26(46), 93–104. https://doi.org/10.19053/01211129.v26.n46.2017.7321

Published: Sep 5, 2017

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https://doi.org/10.19053/01211129.v26.n46.2017.7321

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Vol. 26 No. 46 (2017)

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Papers

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John Wilmer Escobar

Universidad del Valle (Cali-Valle del Cauca, Colombia)

http://orcid.org/0000-0001-6175-9553

Wilson Adarme-Jaimes

Universidad Nacional de Colombia (Bogotá-Distrito Capital, Colombia)

http://orcid.org/0000-0001-7401-223X

Nicolás Clavijo-Buriticá

Pontificia Universidad Javeriana Cali (Cali-Valle del Cauca, Colombia).

http://orcid.org/0000-0001-5871-9390

Abstract

In the vehicle routing problem with heterogeneous fleet and variable costs (HFVRP), the group of routes to be developed to satisfy the demand of the customer must be determined, considering the minimization of the total costs of the travelled distance. Heuristic algorithms based on local searches use simple movements (neighborhoods) to generate feasible solutions to problems related to route design. In this article, we conduct a comparative analysis of granular neighborhoods in a Tabu Search for the HFVRP, in terms of the quality of the obtained solution. The computational experiments, performed on instances of benchmarking for the HFVRP, showed the efficiency and effectiveness of implementing some neighborhoods in metaheuristic algorithms of path, such as the Tabu Search.

Keywords:

Granular neighborhoods

Heterogeneous fleet

Tabu search

Vehicle routing problems

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