The inverse shortest paths problem with upper bounds on shortest paths costs

We examine the computational complexity of the inverse shortest paths problem with upper bounds on shortest path costs, and prove that obtaining a globally optimum solution to this problem is NP-complete. An algorithm for finding a locally optimum solution is proposed, discussed and tested.

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