Benchmark dataset for multi depot vehicle routing problem with road capacity and damage road consideration for humanitarian operation in critical supply delivery

A Multi-Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity: An MDP Model and Dynamic Policy for Post-Decision State Rollout Algorithm in Reinforcement Learning

“…To test and validate the model and solutions algorithm for such a unique problem as the medical supplies delivery operations with compromising circumstances, the common benchmarks of Perl, Gaskell, and Christofides cannot be applied. So several test instances are designed [86,87], ranging from a small and simple road network, to medium and more challenging networks based on the available experimental apparatus (Figures A1-A10). Along with each test instance are the associated initial damage for each road within the network of the respective test instances [86,87].…”

“…So several test instances are designed [86,87], ranging from a small and simple road network, to medium and more challenging networks based on the available experimental apparatus (Figures A1-A10). Along with each test instance are the associated initial damage for each road within the network of the respective test instances [86,87]. These datasets, consisting of test instances and the associated damage files are available in [87] and are shown in Table 3.…”