Skip to main content

Packing Polyominoes

  • Conference paper
Operations Research ’91
  • 200 Accesses

Abstract

A polyomino is a connected figure consisting of unit squares joined at the edges. We consider the following polyomino packing problem (PPP): Given a region R and a set S of n distinct polyominoes with associated values. How should copies of the polyominoes be placed into R so as to maximize their total value, whereby they are not allowed to overlap each other? A lagrangean relaxation is presented which provides upper bounds for (PPP) using subgradient optimization. For the special case of packing copies of one polyomino into a rectangle, we present an exact tree search procedure which allows medium sized problems to be solved. We briefly describe tabu search heuristics for (PPP) which produce very good solutions.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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.

References

  1. Beasley, J.E.: An Exact Two-Dimensional Non-Guillotine Cutting Tree Search Procedure; Operations Research 1985, 49–64

    Google Scholar 

  2. Beasley, J.E.: Bounds for Two-Dimensional Cutting; J. Opl. Res. Soc., Vol 36, No. 1, 1985, 71–74

    Google Scholar 

  3. Fisher, M.L.: The Lagrangian Relaxation Method for Solving Integer Programming Problems; Management Science 27/1981, 1–18

    Google Scholar 

  4. Fisher, M.L.; Kedia, P.: Optimal Soution of Set Covering/Partitioning Problems Using Dual Heuristics; Management Science Vol.36, No.6, June 1990, 674–688

    Article  Google Scholar 

  5. Fowler, R.J.; Paterson, M.S.; Tanimoto, L.: Optimal Packing and Covering in the Plane are NP-Complete; Information Processing Letters Vol.12, No.3, 1981, 133–137

    Article  Google Scholar 

  6. Glover, F.: Tabu Search: A Tutorial; Interfaces (1990), 20 (4), 74–94

    Article  Google Scholar 

  7. Guignard, M.; Rosenwein, M.B.: An application-oriented guide for designing Lagrangean dual ascent algorithms; EJOR 43(1989), 197–205

    Article  Google Scholar 

  8. Hinxman, A.I.: The trim-loss and assortment problems: A Survey; EJOR Research 5/1980, 8–18

    Google Scholar 

  9. Meyer, B.: Object-Oriented Software Construction; Prentice Hall, 1988

    Google Scholar 

  10. Wolffram, J.: Packing Polyominoes; Internal Report; Lehrstuhl für Anwendungen des Operations Research, Universität Karlsruhe, Germany

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Physica-Verlag Heidelberg

About this paper

Cite this paper

Wolffram, J. (1992). Packing Polyominoes. In: Gritzmann, P., Hettich, R., Horst, R., Sachs, E. (eds) Operations Research ’91. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-48417-9_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-48417-9_49

  • Publisher Name: Physica-Verlag HD

  • Print ISBN: 978-3-7908-0608-3

  • Online ISBN: 978-3-642-48417-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics