Abstract
In this paper, we introduce a new variation of graph searching problem, namely, cooperative graph searching problem. We define that a searcher is isolated if there is no other searchers on its close neighborhood. In this variant, we add an additional constrain that every searcher would not be isolated after each searching step. Therefore, we can make sure that every searcher can be cooperated by another searcher. We prove that the cooperative graph searching problem is NP-complete on general graphs and propose polynomial-time algorithms for the problem on grid graphs.
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References
Breisch, R.: An intuitive approach to speleotopology. Southwest. Cavers 6(5), 72–79 (1967)
Parsons, T.: Pursuit-evasion in a graph. In: Alavi, Y., Lick, D.R. (eds.) Theory and Applications of Graphs, pp. 426–441. Springer, Heidelberg (1976). https://doi.org/10.1007/BFb0070400
Parsons, T.: The search number of a connected graph. In: Proceedings of the 9th Southeastern Conference on Combinatorics, Graph Theory and Computing, pp. 549–554 (1978)
Takahashi, A., Ueno, S., Kajitani, Y.: Mixed searching and proper-path-width. Theor. Comput. Sci. 137, 253–268 (1995)
Cole, R., Hariharan, R., Indyk, P.: Tree pattern matching and subset matching in deterministic \(O(n \log ^3 n)\)-time. In: Proceedings of the ACM-SIAM Symposium on Discrete Algorithm, pp. 245–254 (1999)
Hoffman, C., O’Donnell, J.: Pattern matching in trees. J. ACM 29, 68–95 (1982)
Cook, D., Holder, L.: Substructure discovery using minimum description length and background knowledge. J. Artif. Intell. Res. 1, 231–255 (1993)
Djoko, S., Cook, D., Holder, L.: An empirical study of domain knowledge and its benefits to substructure discovery. IEEE Trans. Knowl. Data Eng. 9, 575–586 (1997)
Chen, Z., Korn, F., Koudas, N., Muthukrishnan, S.: Selectivity estimation for Boolean queries. In: Proceedings of the ACM SIGMOD-SIGACT-SIGART Sympasium on Principles of Database Systems, pp. 216–225 (2000)
Almohamad, H., Duffuaa, S.: A linear programming approach for the weighted graph matching problem. IEEE Trans. Pattern Anal. Mach. Intell. 15, 522–525 (1993)
Christmas, W., Kittler, J., Petrou, M.: Structural matching in computer vision using probabilistic relaxation. IEEE Trans. Pattern Anal. Mach. Intell. 17, 749–764 (1995)
Chung, M., Makedon, F., Sudborough, I., Turner, J.: Polynomial time algorithm for the min cut problem on degree restricted trees. SAIM J. Comput. 14, 158–177 (1985)
Blin, L., Burman, J., Nisse, N.: Exclusive graph searching. In: Bodlaender, H.L., Italiano, G.F. (eds.) ESA 2013. LNCS, vol. 8125, pp. 181–192. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40450-4_16
Markou, E., Nisse, N., Pérennes, S.: Exclusive graph searching vs pathwidth. Inf. Comput. 252, 243–260 (2017)
Dyer, D., Yang, B., Yaşar, Ö.: On the fast searching problem. In: Fleischer, R., Xu, J. (eds.) AAIM 2008. LNCS, vol. 5034, pp. 143–154. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-68880-8_15
Xue, Y., Yang, B.: The fast search number of a Cartesian product of graphs. Discrete Appl. Math. 224, 106–119 (2017)
LaPaugh, A.: Recontamination does not help to search a graph. J. ACM 40, 224–245 (1993)
Yang, B., Cao, Y.: Monotonicity in digraph search problems. Theor. Comput. Sci. 407, 523–544 (2008)
Escalante, F.: Schnittverbände in graphen. Abh. Math. Semin. Univ. Hambg. 38, 199–220 (1972)
Acknowledgement
This work was partially supported by the Ministry of Science and Technology of Taiwan, under Contract No. MOST 105-2221-E-259-018.
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Lin, CF., Navrátil, O., Peng, SL. (2018). On the Cooperative Graph Searching Problem. In: Tian, C., Nagoya, F., Liu, S., Duan, Z. (eds) Structured Object-Oriented Formal Language and Method. SOFL+MSVL 2017. Lecture Notes in Computer Science(), vol 10795. Springer, Cham. https://doi.org/10.1007/978-3-319-90104-6_3
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DOI: https://doi.org/10.1007/978-3-319-90104-6_3
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