- BodinL. and GoldenB., AssadA., BallM. (1983). Routing and scheduling of vehicles and crews: The state of the art. Computers and Operations Research, 10, 63–211.
- CadenasJ. and VerdegayJ. (1999). Optimization models with imprecise data. Ed. Universidad de Murcia.
- ClarkeG. and WrightJ. (1964). Scheduling of vehicles from a central depot to a number of delivery points. Operations Research, 12, 568–581.
- DantzigG. and RamserJ. (1959). The truck dispatching problem. Management Science, 6, 1, 80–91.
- DelgadoM., VerdegayJ., and VilaM. (1989). A general model for fuzzy linear programming. Control and Cybernet, 16, 2, 113–121.
- DelgadoM., VerdegayJ., and VilaM. (1987). Imprecise costs in mathematical programming problems. Fuzzy Sets and Systems, 29, 21–29.
- DuboisD., FargierH., and PradeH. (1995). Fuzzy constraints in job-shop scheduling. Journal of Intelligent Manufacturing, 6, P. 215–234.
- El-SherbenyN. (2002). Resolution of a vehicle routing problem with a multi-objective simulated annealing method, Ph.D. dissertation, Facuity of Science, Mons University, Mons, Belgium..
- HallR. (2004). On the road to recovery. OR/MS Today, 31, 3.
- HongL. and XuM. (2008). A model of MDVRPTW with fuzzy travel time and time-dependent and its solution. In proceeding, Fifth International Conference on Fuzzy Systems and Knowledge Discovery, IEEE..
- JiaJ., LiuN., and WangR. (2008). Genetic algorithm for fuzzy logistics distribution vehicle routing problem. In proceeding of International Conference on Service Operations and Logistics and Informatics, IEEE.
- LucicP., and TeodorovicD. (2003). Vehicle routing problem with uncertain demand at nodes: The Bee system and fuzzy logic approach. In Fuzzy Sets Based Heuristics for Optimization. Springer-Verlag, 67–82.
- LucicP. and TeodorovicD. (2007). The fuzzy ant system for the vehicle routing problem when demand at nodes is uncertain. Journal on Artificial Intelligence Tools, 16, issue 5, 751–770.
- SlowinskiR. and HapkeM. (2000). Scheduling under fuzziness. Physica-Verlag.
- TeghemJ. (1996). La programmation lineaire. Editions Universite Bruxelles, Ellipses.
- TeodorovicD. and KikuchiS. (1991). Application of fuzzy sets theory to the saving based vehicle routing algorithm. Civil Engineering Systems, 8, 87–93.
- TeodorovicD. and PavkovicG. (1996). The fuzzy set theory approach to the vehicle routing problem when demand at nodes is uncertain. Fuzzy Sets and Systems, 82, 307–317.
- TuyttensD., TeghemJ. and El-SherbenyN. (2004). A Particular Multiobjective Vehicle Routing Problem Solved by Simulated Annealing. Lecture Notes in Economics and Mathematical Systems. Springer-Verlag, Berlin, Germany, Vol. 535, 133–152
- VerdegayJ. (1995). Fuzzy optimization: models, methods and perspectives. 6th IFSA-95 World Congress, 39–71.
- WemersB. and DraveM. (2003). Capacitated vehicle routing problem with fuzzy demand. In Fuzzy Sets Based Heuristics for Optimization. Springer-Verlag, 317–334.
- YangY. and XuJ. (2008). A class of multi-objective vehicle routing optimal model under fuzzy random environment and its application. World Journal of Modeling and Simulation, Vol. 4, 2, 112–119.
- ZimmermannH. (1976). Description and optimization of fuzzy system. International Journal of General System, 2, 209–216.
Imprecision and Flexible Constraints in Fuzzy Vehicle Routing Problem
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