Solving the Truck and Trailer Routing Problem with Fuzzy Constraints

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URI: https://hdl.handle.net/10481/96064
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Autor
Torres, Isis; Cruz Corona, Carlos Alberto; Verdegay Galdeano, José Luis
Editorial
Springer Nature
Materia
Truck and Trailer Routing Problem
 
Fuzzy constraints
 
Soft Computing
 
Fecha
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
Resumen
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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Atribución-NoComercial 4.0 Internacional
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