Titlebook: Vehicle Routing under Consideration of Driving and Working Hours; A Distributed Decisi Christoph Manuel Meyer Book 2011 Gabler Verlag | Spr

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Christoph Manuel Meyer on QNN and directly optimize the evaluation measure NDCG. OptNDCGQNN use QNN as model and Stochastic Gradient Descent (SGD) as optimization algorithm to optimize an upper bound function of the original loss function, which directly defined according to the evaluation measure NDCG. Experimental resu

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curacy was 6.42%, 7.28%, 11.56% and 9.38% higher than that of Regression Kriging (RK), Bayesian Kriging (BK), Inverse Distance Weighting (IDW) and Ordinary Kriging (OK), respectively. (2) The HASMSP-EL can provide more details in the geographical boundary, which made the simulation results consisten

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Model for the Vehicle Routing Problem with Time Windows and European Social Legislation,lying vehicle routing problems such as the VRP, the VRPTW, the Pickup and Delivery Problem (PDP) or the Pickup and Delivery Problem with Time Windows (PDPTW). Moreover, different sets of legal rules can be considered such as the US regulations set by the DOT or the European social legislation.

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