Year: 2007
Type: article
Abstract: The minimum maximal flow problem is the problem of minimizing the flow value on the set of maximal flows of a given network. The optimal value indicates how inefficiently the network can be utilized in the presence of some uncontrollability. After extending the gap function characterizing the set of maximal flows, we reformulate the problem as a D.C. optimization problem, and then propose an outer approximation algorithm. The algorithm, based on the idea of ε-optimal solution and local search technique, terminates after finitely many iterations with the optimal value of the problem.
DOI: 10.15807/jorsj.50.14
Authors: Yoshitsugu Yamamoto, Daisuke Zenke
Institutions: University of Tsukuba, Ministry of Defense
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W32394238
