Column Generation Based Algorithms for a VRP with Time Windows and Variable Departure Times

For our experimentations, the compromise between the cost of treatment of the accelerating procedure (the computation of complementary columns for CGDR and the construction of

As supervised learning algorithms build classifiers based on labeled training examples, several of these approaches aim to reduce the amount of time and effort needed to obtain

Keywords: Multi-label Classification, Mixed Integer Linear Programming, Combinatorial Optimization, Recurrent Problems, Machine Learning?. Abstract: This paper addresses the

A branch-and-cut algorithm for the generalized traveling salesman problem with time windows.. Yuan Yuan, Diego Cattaruzza, Maxime Ogier,

A branch-and-cut algorithm for the generalized traveling salesman problem with time windows.. Yuan Yuan, Diego Cattaruzza, Maxime Ogier,

For each data set, we can compute a graph where the weights are computed by the the euclidean distance in, respectively, the initial space and the learned space for LMNN

Based on the definition of node influence and the label propagation strategy, the labels of central nodes are more easily adopted by the border nodes.. If the update order is set to

For the case of TOPTW where 2 to 4 vehicles are available for the service of customers, we launched our column generation algorithm and we were able to find the optimal solution for