Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78536
Title: Bin packing game with a price of anarchy of
Authors: Nong, QQ
Sun, T
Cheng, TCE 
Fang, QZ
Keywords: Game
Nash equilibrium
Price of anarchy
Bin packing
Issue Date: 2018
Publisher: Springer
Source: Journal of combinatorial optimization, Feb. 2018, v. 35, no. 2, p. 632-640 How to cite?
Journal: Journal of combinatorial optimization 
Abstract: We consider the bin packing problem in the non-cooperative game setting. In the game there are a set of items with sizes between 0 and 1 and a number of bins each with a capacity of 1. Each item seeks to be packed in one of the bins so as to minimize its cost (payoff). The social cost is the number of bins used in the packing. Existing research has focused on three bin packing games with selfish items, namely the Unit game, the Proportional game, and the General Weight game, each of which uses a unique payoff rule. In this paper we propose a new bin packing game in which the payoff of an item is a function of its own size and the size of the maximum item in the same bin. We find that the new payoff rule induces the items to reach a better Nash equilibrium. We show that the price of anarchy of the new bin packing game is and prove that any feasible packing can converge to a Nash equilibrium in steps without increasing the social cost.
URI: http://hdl.handle.net/10397/78536
EISSN: 1382-6905
DOI: 10.1007/s10878-017-0201-6
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