Applied Statistical Indicators to the Vehicle Routing Problem with Time Windows for Discriminate Appropriately the Best Algorithm
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- Ruiz-Vanoye J.A., Zárate M. J.A., Díaz-Parra O., Landero N. V. (2008) Applied Statistical Indicators to the Vehicle Routing Problem with Time Windows for Discriminate Appropriately the Best Algorithm. In: Gervasi O., Murgante B., Laganà A., Taniar D., Mun Y., Gavrilova M.L. (eds) Computational Science and Its Applications – ICCSA 2008. ICCSA 2008. Lecture Notes in Computer Science, vol 5073. Springer, Berlin, Heidelberg
In this paper, we propose indicators based on the position method of the descriptive statistic for the Vehicle Routing Problem with Time Windows (VRPTW). The indicators are based on the calculation of the median; they will serve altogether with the technique of discriminant analysis to select appropriately the algorithm that better solves an instance of the VRPTW.
KeywordsDiscriminant analysis VRPTW prediction genetics algorithms
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