We describe the implementation and testing of approaches for the solution of the maximum k-routeflow problem. More specifically, we focus on kishimoto's algorithm, the binary search algorithm and the k-routeflow...
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We describe the implementation and testing of approaches for the solution of the maximum k-routeflow problem. More specifically, we focus on kishimoto's algorithm, the binary search algorithm and the k-route flow algorithm. With the aim to compare the performances of the aforementioned methods, we report results of computational experiments carried out on a large set of randomly generated problems with varying topology and arc capacities. The numerical results show that kishimoto's algorithm is generally the fastest for solving fully random networks and 3-D grid random networks. The binary search algorithm provides the best performance in solving grid random networks. The k-route flow algorithm is generally the fastest for solving fully random networks and 3-D grid random networks with capacity range of [1,1000] and certain values of k. (c) 2004 Elsevier Ltd. All rights reserved.
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