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An online allocation algorithm of indivisible goods

机译:不可分割商品的在线分配算法

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This paper proposes a new online allocation algorithm of indivisible goods. In online algorithms, participants arrive to execute the algorithm at any time and exit from the algorithm when his/her allocation is given. We assume that the total value of the whole goods is the same for every participant. In cake-cutting algorithms for divisible goods, immediately envy-free has been defined as the desirable property. The property means that for any participants, any other participants who arrive after and depart before the participant obtain no more value than the participant. However, it is difficult for online allocation algorithms for indivisible goods to satisfy immediately envy-free. Therefore we propose a weakly immediately envy-free algorithm, which means that participants do not value goods allocated to participants who arrived later but departs earlier than them, more than their own. Our algorithm aims to maximize the worst obtained value among all participants. We show that this problem involves an NP-complete problem. Thus, it is very difficult to always output an optimal solution. We propose an approximation algorithm and prove its approximation ratio.
机译:提出了一种新的不可分割商品在线分配算法。在在线算法中,参与者可以随时到达执行算法,并在给出分配后退出算法。我们假设每个参与者的全部商品总价值相同。在可分割商品的切蛋糕算法中,立即将无嫉妒定义为理想属性。该财产意味着对于任何参与者,在参与者之后和之前离开的任何其他参与者所获得的价值都不会超过该参与者。但是,难以分割的商品的在线分配算法很难立即满足。因此,我们提出了一种弱且立即令人羡慕的算法,这意味着参与者不重视分配给迟到但比他们早于出发的参与者的货物。我们的算法旨在最大化所有参与者中最差的获得价值。我们证明这个问题涉及一个NP完全问题。因此,始终输出最优解是非常困难的。我们提出一种近似算法并证明其近似率。

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