Solving the Truck and Trailer Routing Problem with Fuzzy Constraints Torres, Isis Cruz Corona, Carlos Alberto Verdegay Galdeano, José Luis Truck and Trailer Routing Problem Fuzzy constraints Soft Computing 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. 2024-10-17T10:19:15Z 2024-10-17T10:19:15Z 2015-08-01 journal article 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 https://hdl.handle.net/10481/96064 10.1080/18756891.2015.1046330 eng http://creativecommons.org/licenses/by-nc/4.0/ open access Atribución-NoComercial 4.0 Internacional Springer Nature