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On the Two-Dimensional Knapsack Problem for Convex Polygons

Authors Arturo Merino , Andreas Wiese

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Author Details

Arturo Merino
  • Technische Universität Berlin, Germany
Andreas Wiese
  • Universidad de Chile, Santiago, Chile

Funding

  • Merino, Arturo: Partially supported by DFG Project 413902284 and ANID Becas Chile 2019-72200522.
  • Wiese, Andreas: Partially supported by FONDECYT Regular grant 1170223.

Cite As Get BibTex

Arturo Merino and Andreas Wiese. On the Two-Dimensional Knapsack Problem for Convex Polygons. In 47th International Colloquium on Automata, Languages, and Programming (ICALP 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 168, pp. 84:1-84:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020) https://doi.org/10.4230/LIPIcs.ICALP.2020.84

Abstract

We study the two-dimensional geometric knapsack problem for convex polygons. Given a set of weighted convex polygons and a square knapsack, the goal is to select the most profitable subset of the given polygons that fits non-overlappingly into the knapsack. We allow to rotate the polygons by arbitrary angles. We present a quasi-polynomial time O(1)-approximation algorithm for the general case and a polynomial time O(1)-approximation algorithm if all input polygons are triangles, both assuming polynomially bounded integral input data. Also, we give a quasi-polynomial time algorithm that computes a solution of optimal weight under resource augmentation, i.e., we allow to increase the size of the knapsack by a factor of 1+δ for some δ > 0 but compare ourselves with the optimal solution for the original knapsack. To the best of our knowledge, these are the first results for two-dimensional geometric knapsack in which the input objects are more general than axis-parallel rectangles or circles and in which the input polygons can be rotated by arbitrary angles.

Subject Classification

ACM Subject Classification
  • Theory of computation → Packing and covering problems
Keywords
  • Approximation algorithms
  • geometric knapsack problem
  • polygons
  • rotation

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References

  1. Anna Adamaszek and Andreas Wiese. A QPTAS for maximum weight independent set of polygons with polylogarithmically many vertices. In Proceedings of the 25th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2014), pages 645-656. SIAM, 2014. Google Scholar
  2. Anna Adamaszek and Andreas Wiese. A quasi-PTAS for the two-dimensional geometric knapsack problem. In Proceedings of the 26th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2015), pages 1491-1505. SIAM, 2015. Google Scholar
  3. Nikhil Bansal, Alberto Caprara, Klaus Jansen, Lars Prädel, and Maxim Sviridenko. A structural lemma in 2-dimensional packing, and its implications on approximability. In Algorithms and Computation (ISAAC 2009), volume 5878 of LNCS, pages 77-86. Springer, 2009. Google Scholar
  4. Edward G Coffman, Jr, Michael R Garey, David S Johnson, and Robert Endre Tarjan. Performance bounds for level-oriented two-dimensional packing algorithms. SIAM Journal on Computing, 9:808-826, 1980. Google Scholar
  5. Waldo Gálvez, Fabrizio Grandoni, Sandy Heydrich, Salvatore Ingala, Arindam Khan, and Andreas Wiese. Approximating geometric knapsack via l-packings. In 58th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2017, Berkeley, CA, USA, October 15-17, 2017, pages 260-271, 2017. URL: https://doi.org/10.1109/FOCS.2017.32.
  6. Sandy Heydrich and Andreas Wiese. Faster approximation schemes for the two-dimensional knapsack problem. ACM Trans. Algorithms, 15(4):47:1-47:28, 2019. URL: https://doi.org/10.1145/3338512.
  7. Klaus Jansen and Roberto Solis-Oba. New approximability results for 2-dimensional packing problems. In Mathematical Foundations of Computer Science (MFCS 2007), volume 4708 of LNCS, pages 103-114. Springer, 2007. Google Scholar
  8. Klaus Jansen and Roberto Solis-Oba. A polynomial time approximation scheme for the square packing problem. In Integer Programming and Combinatorial Optimization (IPCO 2008), volume 5035 of LNCS, pages 184-198. Springer, 2008. Google Scholar
  9. Klaus Jansen and Guochuan Zhang. Maximizing the number of packed rectangles. In Algorithm Theory (SWAT 2004), volume 3111 of LNCS, pages 362-371. Springer, 2004. Google Scholar
  10. Klaus Jansen and Guochuan Zhang. On rectangle packing: maximizing benefits. In Proceedings of the 15th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2004), pages 204-213. SIAM, 2004. URL: http://dl.acm.org/citation.cfm?id=982792.982822.
  11. Joseph YT Leung, Tommy W Tam, CS Wong, Gilbert H Young, and Francis YL Chin. Packing squares into a square. Journal of Parallel and Distributed Computing, 10(3):271-275, 1990. Google Scholar
  12. Carla Negri Lintzmayer, Flávio Keidi Miyazawa, and Eduardo Candido Xavier. Two-dimensional knapsack for circles. In Latin American Symposium on Theoretical Informatics, pages 741-754. Springer, 2018. Google Scholar
  13. A Steinberg. A strip-packing algorithm with absolute performance bound 2. SIAM Journal on Computing, 26(2):401-409, 1997. Google Scholar
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