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Approximation Algorithms for the Geometric Firefighter and Budget Fence Problems

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LATIN 2014: Theoretical Informatics (LATIN 2014)

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Abstract

Let R denote a connected region inside a simple polygon, P. By building 1-dimensional barriers in P ∖ R, we want to separate from R part(s) of P of maximum area. In this paper we introduce two versions of this problem. In the budget fence version the region R is static, and there is an upper bound on the total length of barriers we may build. In the basic geometric firefighter version we assume that R represents a fire that is spreading over P at constant speed (varying speed can also be handled). Building a barrier takes time proportional to its length, and each barrier must be completed before the fire arrives. In this paper we are assuming that barriers are chosen from a given set B that satisfies a certain linearity condition. For example, this condition is satisfied for barrier curves in general position, if any two barriers cross at most once.

Even for simple cases (e. g., P a convex polygon and B the set of all diagonals), both problems are shown to be NP-hard. Our main result is an efficient ≈ 11.65 approximation algorithm for the firefighter problem. Since this algorithm solves a much more general problem—a hybrid of scheduling and maximum coverage—it may find wider application. We also provide a polynomial-time approximation scheme for the budget fence problem, for the case where barriers chosen from B must not cross.

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References

  1. Altshuler, Y., Bruckstein, A.M.: On Short Cuts or Fencing in Rectangular Strips. arXiv:1911.5920v1[cs.CG] (November 26, 2010)

    Google Scholar 

  2. Anshelevich, E., Chakrabarty, D., Hate, A., Swamy, C.: Approximability of the Firefighter Problem: Computing Cuts over Time. Algorithmica 62(1-2), 520–536 (2012), preliminary version in proc. ISAAC 2009

    Google Scholar 

  3. Bansal, N., Gupta, A., Krishnaswamy, R.: A Constant Factor Approximation Algorithm for Generalized Min-Sum Set Cover. In: Proc. SODA, pp. 1539–1545 (2010)

    Google Scholar 

  4. Bansal, N., Pruhs, K.: The Geometry of Scheduling. In: FOCS 2010, pp. 407–414 (2010)

    Google Scholar 

  5. Barghi, A., Winkler, P.: Firefighting on a random geometric graph. Random Structures & Algorithms, doi:10.1002/rsa.20511 (first published online: June 27, 2013)

    Google Scholar 

  6. Cabello, S., Giannopoulos, P.: The Complexity of Separating Points in the Plane. In: Proc. 29th ACM Symposium on Computational Geometry, pp. 379–386 (2013)

    Google Scholar 

  7. Cai, L., Verbin, E., Yang, L.: Firefighting on Trees (1 − 1/e)–Approximation, Fixed Parameter Tractability and a Subexponential Algorithm. In: Hong, S.-H., Nagamochi, H., Fukunaga, T. (eds.) ISAAC 2008. LNCS, vol. 5369, pp. 258–269. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  8. Chekuri, C., Vondrák, R., Zenklusen, R.: Submodular Function Maximization via the Multilinear Relaxation and Contention Resolution Schemes. Prel. version in STOC 2011, 783–792 (2011), Revised version in http://arxiv.org/pdf/1105.4593v3.pdf (July 30, 2012)

  9. Cohen, R., Katzir, L.: The Generalized Maximum Coverage Problem. Information Processing Letters 108, 15–22 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  10. Feige, U.: A threshold of ln n for approximating set cover. J. ACM 45(4), 634–652 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  11. Finbow, S., King, A., MacGillivray, G., Rizzi, R.: The firefighter problem for graphs of maximum degree three. Discrete Mathematics 307(16), 2094–2105 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  12. Finbow, S., MacGillivray, G.: The Firefighter Problem: a survey of results, directions and questions. Australasian J. Comb. 43, 57–78 (2009)

    MATH  MathSciNet  Google Scholar 

  13. Floderus, P., Lingas, A., Persson, M.: Towards more efficient infection and fire fighting. Int. J. Found. Comput. Sci. 24(1), 3–14 (2013), preliminary version in proc. CATS 2011

    Google Scholar 

  14. Garey, M.R., Johnson, D.S.: Computers and Intractability. A Guide to the Theory of NP-completeness. W.H. Freeman and Company, New York (1979)

    MATH  Google Scholar 

  15. Ghaderi, R., Esnaashari, M., Meybodi, M.R.: An Adaptive Scheduling Algorithm for Set Cover Problem in Wireless Sensor Networks: A Cellular Learning Automata Approach. International Journal of Machine Learning and Computing 2(5) (October 2012)

    Google Scholar 

  16. Hassin, R., Levin, A.: An Approximation Algorithm for the Minimum Latency Set Cover Problem. In: Brodal, G.S., Leonardi, S. (eds.) ESA 2005. LNCS, vol. 3669, pp. 726–733. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  17. Khuller, S., Moss, A., Naor, J.S.: The budgeted maximum coverage problem. Information Processing Letters 70, 39–45 (1999)

    Article  MATH  MathSciNet  Google Scholar 

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Klein, R., Levcopoulos, C., Lingas, A. (2014). Approximation Algorithms for the Geometric Firefighter and Budget Fence Problems. In: Pardo, A., Viola, A. (eds) LATIN 2014: Theoretical Informatics. LATIN 2014. Lecture Notes in Computer Science, vol 8392. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54423-1_23

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  • DOI: https://doi.org/10.1007/978-3-642-54423-1_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54422-4

  • Online ISBN: 978-3-642-54423-1

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