N-fold integer programming and nonlinear multi-transshipment

Raymond Hemmecke, Shmuel Onn, Robert Weismantel

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The multi-transshipment problem is NP-hard already for two commodities over bipartite networks. Nonetheless, using our recent theory of n-fold integer programming and extensions developed herein, we are able to establish the polynomial time solvability of the problem in two broad situations. First, for any fixed number of commodities and number of suppliers, we solve the problem over bipartite networks with variable number of consumers in polynomial time. This is very natural in operations research applications where few facilities serve many customers. Second, for every fixed network, we solve the problem with variable number of commodities in polynomial time.

Original languageEnglish
Pages (from-to)13-25
Number of pages13
JournalOptimization Letters
Volume5
Issue number1
DOIs
StatePublished - Feb 2011

Keywords

  • Combinatorial optimization
  • Convex optimization
  • Discrete optimization
  • Graver basis
  • Integer programming
  • Multicommodity flow
  • N-fold product
  • Nonlinear optimization
  • Transportation problem

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