Solving the Truck and Trailer Routing Problem with Fuzzy Constraints

Torres, Isis; Cruz Corona, Carlos Alberto; Verdegay Galdeano, José Luis

doi:10.1080/18756891.2015.1046330

18756891.2015.1046330.pdf (269.7Ko)

Identificadores

URI: https://hdl.handle.net/10481/96064

DOI: 10.1080/18756891.2015.1046330

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Editorial

Springer Nature

Materia

Truck and Trailer Routing Problem

Fuzzy constraints

Soft Computing

Date

2015-08-01

Referencia bibliográfica

Torres, I., Cruz, C. & Verdegay, J.L. Solving the Truck and Trailer Routing Problem with Fuzzy Constraints. Int J Comput Intell Syst 8, 713–724 (2015). https://doi.org/10.1080/18756891.2015.1046330

Patrocinador

Project P11-TIC-8001 from the Andalusian Government (including FEDER funds); Project TIN2011-27696-C02-01 from Spanish Ministry of Economy and Competitiveness; PYR 2014-9 GENIL Program from CEI BioTIC Granada, University fo Granada

Résumé

The Truck and Trailer Routing Problem consists of a heterogeneous fleet composed of trucks and trailers to serve a set of customers. This problem has been solved previously considering accurate data available. But in a real-world the available knowledge about some data and parameters involves a vague nature. In this study, we propose the application of the Soft Computing to model and solve the TTRP when capacity constraints are imprecise. Numerical examples are presented to illustrate the proposed method.

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