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Dynamic Management of Vehicle Routing Problem with Time Windows and Fuzzy Demands
Based on the MultiObjective Optimization |
WANG Jun,LI Bo |
Tianjin University, Tianjin, China |
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Abstract Considering the Vehicle Routing Problem with Time Windows and Fuzzy Demands, the paper designs a multi-objective fuzzy chance constrained programming model, with the objectives of minimizing the total travel distance and minimizing the total violation time. We propose a dynamic optimization strategy to manage the service for fuzzy demands, and develop a hybrid Nondominated Sorting Genetic Algorithm Ⅱ (NSGAⅡ) embedded fuzzy simulation for solving the model. Computational experiments on Solomon benchmark illustrate the influence of decision-maker’s preference on solutions and verify the effectiveness of the dynamic optimization strategy while compared with the traditional vehicle scheduling method.
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Received: 24 February 2011
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