最小距离要求下设施位置游戏的最小值,具有可选偏好

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Xinping Xu, Jingwen Zhang, Lihua Xie
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引用次数: 0

摘要

在本文中,我们通过进一步强化两个设施之间最小距离(0\le d\le 1\)的要求,研究了线区间[0,1]上具有两个异质设施的设施-位置博弈的可选偏好模型。每个代理对两个设施具有三个有利偏好中的一个,即设施1、设施2或可选偏好。在这里,我们考虑可选偏好模型的两个变体:Min(照顾更接近的一个)和Max(照顾更远的一个。在这两种变体中,每个代理都希望接近他喜欢的设施,因此他的成本是他到他喜欢的设备的距离。在这个游戏中,我们将代理人的位置视为公共信息,将代理人的偏好视为私人信息,需要由代理人报告。目标是为这两个设施的位置设计一种机制,以最大限度地降低代理商的最大成本(MinMax),并实现代理商偏好的真实报告。给定d的任何值,对于这两种变体,我们提出了一种近似比率为2的策略抑制机制。我们还为这两种变体建立了任何确定性策略预测机制的下界,并表明下界和上界之间的间隙相对较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Minmax for facility location game with optional preference under minimum distance requirement

In this paper, we study the optional preference model for the facility location game with two heterogeneous facilities on a line interval [0, 1], by further enforcing the requirement of a minimum distance \(0\le d\le 1\) between the two facilities. Each agent has one of three favorable preferences towards the two facilities, i.e., facility 1, facility 2, or optional preference. Here, we consider two variants of the optional preference model: Min (caring for the closer one) and Max (caring for the further one). In both variants, each agent wishes to get close to his preferred facilities, and thus his cost is his distance to his preferred facility. In this game, we consider agents’ locations as public information and agents’ preferences as private information which needs to be reported by agents. The objective is to design a mechanism for the two facilities’ locations such as to minimize the maximum cost of agents (MinMax) and achieve truthful report of agents’ preferences. Given any value of d, for both variants, we propose a strategyproof mechanism with an approximation ratio of 2. We also establish lower bounds of any deterministic strategyproof mechanism for both variants and show that the gaps between the lower bounds and the upper bounds are relatively small.

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来源期刊
Journal of Combinatorial Optimization
Journal of Combinatorial Optimization 数学-计算机:跨学科应用
CiteScore
2.00
自引率
10.00%
发文量
83
审稿时长
6 months
期刊介绍: The objective of Journal of Combinatorial Optimization is to advance and promote the theory and applications of combinatorial optimization, which is an area of research at the intersection of applied mathematics, computer science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communication networks, and management science. It includes complexity analysis and algorithm design for combinatorial optimization problems, numerical experiments and problem discovery with applications in science and engineering. The Journal of Combinatorial Optimization publishes refereed papers dealing with all theoretical, computational and applied aspects of combinatorial optimization. It also publishes reviews of appropriate books and special issues of journals.
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