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相关论文: Manipulation-resistant facility location mechanism…

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We consider the following problem - a group of mobile agents perform some task on a terrain modeled as a graph. In a given moment of time an adversary gets an access to the graph and positions of the agents. Shortly before adversary's…

多智能体系统 · 计算机科学 2016-11-15 Karol Gotfryd , Marek Klonowski , Dominik Pająk

An important feature of many real world facility location problems are capacity limits on the facilities. We show here how capacity constraints make it harder to design strategy proof mechanisms for facility location, but…

人工智能 · 计算机科学 2020-09-18 Toby Walsh

We consider a truthful facility location problem in which there is a set of agents with private locations on the line of real numbers, and the goal is to place a number of facilities at different locations chosen from the set of those…

计算机科学与博弈论 · 计算机科学 2025-02-18 Argyrios Deligkas , Mohammad Lotfi , Alexandros A. Voudouris

We present Placeto, a reinforcement learning (RL) approach to efficiently find device placements for distributed neural network training. Unlike prior approaches that only find a device placement for a specific computation graph, Placeto…

We study deterministic mechanisms for the two-facility location problem. Given the reported locations of n agents on the real line, such a mechanism specifies where to build the two facilities. The single-facility variant of this problem…

计算机科学与博弈论 · 计算机科学 2025-08-15 Elijah Journey Fullerton , Zeyuan Hu , C. Gregory Plaxton

We study a non-cooperative two-sided facility location game in which facilities and clients behave strategically. This is in contrast to many other facility location games in which clients simply visit their closest facility. Facility…

计算机科学与博弈论 · 计算机科学 2024-06-14 Simon Krogmann , Pascal Lenzner , Alexander Skopalik

We study a continuous facility location problem on a graph where all edges have unit length and where the facilities may also be positioned in the interior of the edges. The goal is to position as many facilities as possible subject to the…

数据结构与算法 · 计算机科学 2018-11-26 Alexander Grigoriev , Tim A. Hartmann , Stefan Lendl , Gerhard J. Woeginger

We consider the facility location problem in a metric space, focusing on the case of three agents. We show that selecting the reported location of each agent with probability proportional to the distance between the other two agents results…

计算机科学与博弈论 · 计算机科学 2019-07-09 Reshef Meir

Understanding the dynamics of evolving social or infrastructure networks is a challenge in applied areas such as epidemiology, viral marketing, or urban planning. During the past decade, data has been collected on such networks but has yet…

社会与信息网络 · 计算机科学 2014-03-27 David Eisenstat , Claire Mathieu , Nicolas Schabanel

We consider K-Facility Location games, where n strategic agents report their locations in a metric space, and a mechanism maps them to K facilities. Our main result is an elegant characterization of deterministic strategyproof mechanisms…

计算机科学与博弈论 · 计算机科学 2012-07-05 Dimitris Fotakis , Christos Tzamos

In this paper, we study a truthful two-obnoxious-facility location problem, in which each agent has a private location in [0, 1] and a public optional preference over two obnoxious facilities, and there is a minimum distance constraint d…

计算机科学与博弈论 · 计算机科学 2025-08-12 Xiaojia Han , Wenjing Liu , Qizhi Fang

Facility location problems on graphs are ubiquitous in real world and hold significant importance, yet their resolution is often impeded by NP-hardness. Recently, machine learning methods have been proposed to tackle such classical…

机器学习 · 计算机科学 2023-12-27 Wenxuan Guo , Yanyan Xu , Yaohui Jin

In this paper, we introduce a new variant of the $p$-median facility location problem in which it is assumed that the exact location of the potential facilities is unknown. Instead, each of the facilities must be located in a region around…

最优化与控制 · 数学 2017-10-24 Víctor Blanco

In this paper, we propose a constrained heterogeneous facility location model where a set of alternative locations are feasible for building facilities and the number of facilities built at each location is limited. Supposing that a set of…

计算机科学与博弈论 · 计算机科学 2022-07-08 Qi Zhao , Wenjing Liu , Qizhi Fang , Qingqin Nong

We consider a truthful facility location problem with agents that have private positions on the line of real numbers and known optional preferences over two obnoxious facilities that must be placed at locations chosen from a given set of…

计算机科学与博弈论 · 计算机科学 2024-10-22 Panagiotis Kanellopoulos , Alexandros A. Voudouris

We study a sequence of independent one-shot non-cooperative games where agents play equilibria determined by a tunable mechanism. Observing only equilibrium decisions, without parametric or distributional knowledge of utilities, we aim to…

计算机科学与博弈论 · 计算机科学 2025-11-10 Luke Snow , Vikram Krishnamurthy

We address the problem of strategyproof (SP) facility location mechanisms on discrete trees. Our main result is a full characterization of onto and SP mechanisms. In particular, we prove that when a single agent significantly affects the…

计算机科学与博弈论 · 计算机科学 2021-02-05 Alina Filimonov , Reshef Meir

We consider a discrete facility location problem with a new form of equity criterion. The model discussed in the paper analyzes the case where demand points only have strict preference order on the sites where the plants can be located. The…

最优化与控制 · 数学 2008-06-20 Inmaculada Espejo , Alfredo Marin , Justo Puerto , Antonio Rodriguez-Chia

Facility location is a prominent optimization problem that has inspired a large quantity of both theoretical and practical studies in combinatorial optimization. Although the problem has been investigated under various settings reflecting…

数据结构与算法 · 计算机科学 2019-07-09 Kangsan Kim , Yongho Shin , Hyung-Chan An

We study a variation of facility location problems (FLPs) that aims to improve the accessibility of agents to the facility within the context of mechanism design without money. In such a variation, agents have preferences on the ideal…

计算机科学与博弈论 · 计算机科学 2024-09-16 Hau Chan , Jianan Lin , Chenhao Wang , Yanxi Xie