The inverse maximum flow problem under weighted lk norm

Authors

  • Adrian Deaconu Transilvania University of Brasov, Romania

Keywords:

inverse combinatorial optimization, maximum flow, strongly polynomial time complexity

Abstract

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.

Author Biography

Adrian Deaconu, Transilvania University of Brasov, Romania

Faculty of Mathematics and Informatics

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Published

2013-01-17

Issue

Section

INFORMATICS