The inverse maximum flow problem under weighted lk norm
Keywords:
inverse combinatorial optimization, maximum flow, strongly polynomial time complexityAbstract
The problem consists in modifying the lower and the upper bounds of a given feasible flow f in a network G so that the given flow becomes a maximum flow in G and the distance between the initial vector of bounds and the modified one is measured using weighted Lknorm (k ∈ N) is minimum. We denote this problem by IMFWLk. IMFWLk is a generalization of the inverse maximum flow problem under the Lk norm (denoted IMFLk, where the per unit cost of modification is equal to 1 on all arcs), which was previously studied and solved in polynomial time. In this paper, the algorithm for IMFLk is adapted to solve IMFWLk.