具有和变数的受约束异质双设施位置博弈

IF 0.9 4区 数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Qi Zhao, Wenjing Liu, Qingqin Nong, Qizhi Fang
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引用次数: 0

摘要

我们研究了受限异质双设施位置博弈的确定性机制设计。这里的约束是指设施的可行位置是指定的,而每个可行位置上可建设施的数量是有限的。鉴于一组代理可以策略性地报告他们在实线上的位置,管理机构希望设计防策略机制(即能够激励代理报告真实私人信息的机制),以便在约束条件下建造两个异质设施,同时优化相应的社会目标。假设每个代理人的个人目标取决于其与设施的距离之和,我们将分别考虑理想设施和令人讨厌的设施的选址问题。对于前者,我们给出了一种确定性的群组策略防范机制,它能保证在最小化总成本和最大成本的目标下实现 3 近似。我们证明,在总和成本/最大成本目标下,没有任何一种确定性防策略机制的近似率小于 2。对于后者,我们给出了一个在效用总和最大化和效用最小化目标下近似率为 2 的确定性群组防策略机制。我们证明,在总效用目标下和在最小效用目标下,没有一个确定性防策略机制的近似率小于 3/2。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constrained heterogeneous two-facility location games with sum-variant

We study deterministic mechanism design for constrained heterogeneous two-facility location games. The constraint here means that the feasible locations of facilities are specified and the number of facilities that can be built at each feasible location is limited. Given that a set of agents can strategically report their locations on the real line, the authority wants to design strategyproof mechanisms (i.e., mechanisms that can incentivize agents to report truthful private information) to construct two heterogeneous facilities under constraint, while optimizing the corresponding social objectives. Assuming that each agent’s individual objective depends on the sum of her distance to facilities, we consider locating desirable and obnoxious facilities respectively. For the former, we give a deterministic group strategyproof mechanism, which guarantees 3-approximation under the objectives of minimizing the sum cost and the maximum cost. We show that no deterministic strategyproof mechanism can have an approximation ratio of less than 2 under the sum/maximum cost objective. For the latter, we give a deterministic group strategyproof mechanism with 2-approximation under the objectives of maximizing the sum utility and the minimum utility. We show that no deterministic strategyproof mechanism can have an approximation ratio of less than 3/2 under the sum utility objective and 2 under the minimum utility objective, respectively.

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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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