Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Revista Facultad de Ingeniería
Print version ISSN 0121-1129
Abstract
ESCOBAR, John Willmer; ADARME-JAIMES, Wilson and CLAVIJO-BURITICA, Nicolás. Comparative analysis of granular neighborhoods in a Tabu Search for the vehicle routing problem with heterogeneous fleet and variable costs (HFVRP). Rev. Fac. ing. [online]. 2017, vol.26, n.46, pp.93-104. ISSN 0121-1129. https://doi.org/10.19053/01211129.v26.n46.2017.7321.
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.