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Statistical measures of a fitness landscape for the vehicle routing problem

The work concerns the statistical measures of a fitness landscape in the context of the vehicle routing problem with time windows (VRPTW). The measures are determined by using a parallel simulated annealing algorithm as a tool for exploring a solution space. The landscape properties which are discovered allow us to evaluate the difficulty of the VRPTW benchmarking instances and to establish some parameters of the parallel algorithm.