Skip to main content

FixArc — Ein System zur PC-gestützten Lösung von Fixkosten-Netzwerkflußproblemen

  • Conference paper
DGOR / ÖGOR

Part of the book series: Operations Research Proceedings 1992 ((ORP,volume 1992))

  • 262 Accesses

Zusammenfassung

Zur Lösung des Fixkosten-Netzwerkflußproblems zur Gesamtkostenminimierung wurde ein neues Verfahren entwickelt und als Microsoft Windows-Anwendung implementiert. Es setzt sich aus einem Branch-and-Bound-System und einem Problemloser für die linearen Relaxationen zusammen, der eine neue Implementation des primalen Netzwerk-Simplex-Verfahrens darstellt und im Vergleich mit den schnellsten primal-dualen Verfahren konkurrenzfähig ist. Das Branch-and- Bound-System berechnet aus der Lagrange-Relaxation abgeleitete Penalties sowohl für Basis- als auch für Nichtbasisvariable. Bei intensiven Testrechnungen wurden aus verschiedenen Penalties, Separations- und Verzweigungsregeln die günstigsten Kombinationen ermittelt. Mit ihnen bereitet erstmals auch die Lösung großer Probleme (mehrere tausend Knoten, mehrere zehntausend Pfeile, davon bis zu fünftausend mit Fixkosten belastet) auf PCs keine Schwierigkeiten mehr.

Abstract

For solving fixed charge minimum cost network flow problems a new method has been developed and implemented under Microsoft Windows. It is composed of a branch-and-bound system and a solver for linear relaxations, which is a new implementation of the primal network simplex method. This solver is competitive with the fastest primal-dual algorithms. The branch-and-bound system utilizes penalties, which are derived from the Lagrange relaxation, not only on basis variables but also on nonbasic variables. In extensive computational tests the best combinations of different penalties, separation and branching rules were determined. Using these the solution of large problems (thousands of nodes, ten thousands of arcs with fixed charges on up to five thousand arcs) no longer causes any difficulties on PCs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  1. M. L. Balinski, Fixed-Cost Transportation Problems, Naval Research Logistics Quarterly 8 (1961), 41–54.

    Article  Google Scholar 

  2. R. S. Barr, F. Glover und D. Klingman, Enhancements of Spanning Tree Labelling Procedures for Network Optimizations, INFOR 17 (1) (1979), 16–34.

    Google Scholar 

  3. R. S. Barr, F. Glover und D. Klingman, A New Optimization Method for Large Scale Fixed Charge Transportation Problems, Operations Research 29 (3) (1981), 448–463.

    Article  Google Scholar 

  4. D. P. Bertsekas und P. Tseng, RELAXT-III: A New and Improved Version of the RELAX Code, Report P-1990, Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, Massachusetts, Juli 1990.

    Google Scholar 

  5. K. Boenchendorf, Combining Penalties for the Fixed-Charge Transportation Problem, Methods of Operations Research 53 (1986), 231–237.

    Google Scholar 

  6. G. H. Bradley, G. B. Brown und G. W. Graves, Design and Implementation of Large Scale Primal Transshipment Algorithms, Management Science 24 (1) (1977), 1–34.

    Article  Google Scholar 

  7. A. V. Cabot und S. S. Erenguc, Some Branch-and-Bound Procedures for Fixed-Cost Transportation Problems, Naval Research Logistics Quarterly 31 (1984), 145–154.

    Article  Google Scholar 

  8. A. V. Cabot und S. S. Erenguc, Improved Penalties for Fixed Cost Linear Programs Using Lagrange Relaxations, Management Science 32 (7) (1986), 856–869.

    Article  Google Scholar 

  9. A.M. Geoffrion, Lagrangean Relaxation for Integer Programming, Mathematical Programming Study 2 (1974), 82–114.

    Google Scholar 

  10. P. Gray, Mixed Integer Programming Algorithms for Site Selection and Other Fixed Charge Problems Having Capacity Constraints, Ph.D. Dissertation, Stanford University, Stanford, California, November 1967.

    Google Scholar 

  11. M. D. Grigoriadis, An Efficient Implementation of the Network Simplex Method, Mathematical Programming Study 26 (1986), 83–111.

    Google Scholar 

  12. D. Klingman, A. Napier und J. Stutz, NETGEN: A Program for Generating Large Scale Capacitated Assignment, Transportation, and Minimum Cost Flow Network Problems, Management Science 20 (5) (1974), 813–821.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Heidelberg

About this paper

Cite this paper

Arlt, C. (1993). FixArc — Ein System zur PC-gestützten Lösung von Fixkosten-Netzwerkflußproblemen. In: Hansmann, KW., Bachem, A., Jarke, M., Katzenberger, W.E., Marusev, A. (eds) DGOR / ÖGOR. Operations Research Proceedings 1992, vol 1992. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78196-4_81

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-78196-4_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56642-7

  • Online ISBN: 978-3-642-78196-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics