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Analysis of Lagrangian Lower Bounds for a Graph Partitioning Problem

Published: 01 May 1999 Publication History

Abstract

Recently, Ahmadi and Tang (1991) demonstrated how various manufacturing problems can be modeled and solved as graph partitioning problems. They use Lagrangian relaxation of two different mixed integer programming formulations to obtain both heuristic solutions and lower bounds on optimal solution values. In this note, we point to certain inconsistencies in the reported results. Among other things, we show analytically that the first bound proposed is trivial (i.e., it can never have a value greater than zero) while the second is also trivial for certain sparse graphs. We also present limited empirical results on the behavior of this second bound as a function of graph density.

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Published In

cover image Operations Research
Operations Research  Volume 47, Issue 5
May 1999
141 pages

Publisher

INFORMS

Linthicum, MD, United States

Publication History

Published: 01 May 1999

Author Tags

  1. Lagrangian relaxation
  2. Manufacturing
  3. VLSI design
  4. cell formation
  5. integer
  6. networks/graphs
  7. partitioning
  8. programming
  9. tool loading

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