Volume 8, Issue 4, August 2015, Pages 713 - 724
Solving the Truck and Trailer Routing Problem with Fuzzy Constraints
Authors
Isis Torres, Carlos Cruz, José L. Verdegay
Corresponding Author
Isis Torres
Received 3 January 2015, Accepted 21 March 2015, Available Online 1 August 2015.
- DOI
- 10.1080/18756891.2015.1046330How to use a DOI?
- Keywords
- Truck and Trailer Routing Problem, Fuzzy constraints, Soft Computing, Fuzzy Optimization
- Abstract
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.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Isis Torres AU - Carlos Cruz AU - José L. Verdegay PY - 2015 DA - 2015/08/01 TI - Solving the Truck and Trailer Routing Problem with Fuzzy Constraints JO - International Journal of Computational Intelligence Systems SP - 713 EP - 724 VL - 8 IS - 4 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2015.1046330 DO - 10.1080/18756891.2015.1046330 ID - Torres2015 ER -