Abstract
Selfish bin packing can be viewed as the non-cooperative version of bin packing problem, where every item is a selfish agent and want to minimize his sharing cost with the other items packing in the same bin. In this paper, we focus on designing a new mechanism (a payoff rule) for selfish bin packing, called modified Dutch treatment mechanism. We first show that the pure Nash equilibrium exists and it can be obtained in polynomial time. We then prove that under the new mechanism, the price of anarchy (PoA) is between 1.47407 and 1.4748, improving the known results.
This work is supported by NSFC (No. 11271341 and No. 11501316).
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References
Bilò, V.: On the packing of selfish items. In: Proceedings of 20th IEEE International Parallel and Distributed Processing Symposium. IEEE (2006)
Coffman, J.E.G., Csirik, J.: Performance guarantees for one-dimensional bin packing. In: Handbook of Approximation Algorithms and Metaheuristics, p. 32-1 (2007)
Coffman, J.E.G., Garey, M.R., Johnson, D.S.: Approximation algorithms for bin packing: a survey. In: Approximation Algorithms for NP-Hard Problems, pp. 46–93. PWS Publishing Co. (1996)
Dósa, G., Epstein, L.: Generalized selfish bin packing. arXiv preprint arXiv:1202.4080 (2012)
Dósa, G., Sgall, J.: First Fit bin packing: a tight analysis. LIPIcs-Leibniz International Proceedings in Informatics. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik (2013)
Epstein, L., Kleiman, E.: Selfish bin packing. Algorithmica 60(2), 368–394 (2011)
Epstein, L., Kleiman, E., Mestre, J.: Parametric packing of selfish items and the subset sum algorithm. Algorithmica 74(1), 177–207 (2016)
Garey, M.R., Graham, R.L., Ullman, J.D.: Worst-case analysis of memory allocation algorithms. In: Proceedings of the Fourth Annual ACM Symposium on Theory of Computing, pp. 143–150. ACM (1972)
Johnson, D.S., Demers, A., Ullman, J.D., et al.: Worst-case performance bounds for simple one-dimensional packing algorithms. SIAM J. Comput. 3(4), 299–325 (1974)
Koutsoupias, E., Papadimitriou, C.: Worst-case equilibria. In: Meinel, C., Tison, S. (eds.) STACS 1999. LNCS, vol. 1563, pp. 404–413. Springer, Heidelberg (1999). https://doi.org/10.1007/3-540-49116-3_38
Li, W., Fang, Q., Liu, W.: An incentive mechanism for selfish bin covering. In: Chan, T.-H.H., Li, M., Wang, L. (eds.) COCOA 2016. LNCS, vol. 10043, pp. 641–654. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-48749-6_46
Ma, R., Dósa, G., Han, X., et al.: A note on a selfish bin packing problem. J. Global Optim. 56(4), 1457–1462 (2013)
Nash, J.: Non-cooperative games. Ann. Math. 54, 286–295 (1951)
Neumann, L.J., Morgenstern, O.: Theory of Games and Economic Behavior. Princeton University Press, Princeton (1947)
Nisan, N., Roughgarden, T., Tardos, E., Vazirani, V.V.: Algorithmic Game Theory. Cambridge University Press, Cambridge (2007)
Wang, Z., Han, X., Dósa, G., Tuza, Z.: Bin packing game with an interest matrix. In: Xu, D., Du, D., Du, D. (eds.) COCOON 2015. LNCS, vol. 9198, pp. 57–69. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21398-9_5
Yu, G., Zhang, G.: Bin packing of selfish items. In: Papadimitriou, C., Zhang, S. (eds.) WINE 2008. LNCS, vol. 5385, pp. 446–453. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-92185-1_50
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Chen, X., Nong, Q., Fang, Q. (2017). An Improved Mechanism for Selfish Bin Packing. In: Gao, X., Du, H., Han, M. (eds) Combinatorial Optimization and Applications. COCOA 2017. Lecture Notes in Computer Science(), vol 10628. Springer, Cham. https://doi.org/10.1007/978-3-319-71147-8_17
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DOI: https://doi.org/10.1007/978-3-319-71147-8_17
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