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相关论文: Reallocating Multiple Facilities on the Line

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We study the facility location problems where agents are located on a real line and divided into groups based on criteria such as ethnicity or age. Our aim is to design mechanisms to locate a facility to approximately minimize the costs of…

计算机科学与博弈论 · 计算机科学 2023-06-06 Houyu Zhou , Minming Li , Hau Chan

In this paper, we investigate the Mechanism Design aspects of the $m$-Capacitated Facility Location Problem ($m$-CFLP) on a line. We focus on two frameworks. In the first framework, the number of facilities is arbitrary, all facilities have…

计算机科学与博弈论 · 计算机科学 2024-04-23 Gennaro Auricchio , Zihe Wang , Jie Zhang

In several applications of real-time matching of demand to supply in online marketplaces, the platform allows for some latency to batch the demand and improve the efficiency. Motivated by these applications, we study the optimal trade-off…

数据结构与算法 · 计算机科学 2022-12-01 Yiding Feng , Rad Niazadeh

In this paper we study three previously unstudied variants of the online Facility Location problem, considering an intrinsic scenario when the clients and facilities are not only allowed to arrive to the system, but they can also depart at…

数据结构与算法 · 计算机科学 2018-07-12 Marek Cygan , Artur Czumaj , Marcin Mucha , Piotr Sankowski

We consider the classic Facility Location problem on planar graphs (non-uniform, uncapacitated). Given an edge-weighted planar graph $G$, a set of clients $C\subseteq V(G)$, a set of facilities $F\subseteq V(G)$, and opening costs…

数据结构与算法 · 计算机科学 2019-04-25 Vincent Cohen-Addad , Marcin Pilipczuk , Michał Pilipczuk

We address the problem of planning collision-free paths for multiple agents using optimization methods known as proximal algorithms. Recently this approach was explored in Bento et al. 2013, which demonstrated its ease of parallelization…

机器人学 · 计算机科学 2015-04-14 José Bento , Nate Derbinsky , Charles Mathy , Jonathan S. Yedidia

In this paper, we provide a rigorous theoretical investigation of an online learning version of the Facility Location problem which is motivated by emerging problems in real-world applications. In our formulation, we are given a set of…

机器学习 · 计算机科学 2020-07-07 Stephen Pasteris , Ting He , Fabio Vitale , Shiqiang Wang , Mark Herbster

Effective agent shift scheduling is crucial for businesses, especially in the Contact Center as a Service (CCaaS) industry, to ensure seamless operations and fulfill employee needs. Most studies utilizing mathematical model-based solutions…

人工智能 · 计算机科学 2025-12-01 Sanalkumar K , Koushik Dey , Swati Meena

We introduce a problem that is a common generalization of the uncapacitated facility location and minimum latency (ML) problems, where facilities need to be opened to serve clients and also need to be sequentially activated before they can…

数据结构与算法 · 计算机科学 2010-09-14 Deeparnab Chakrabarty , Chaitanya Swamy

We consider a multiperiod stochastic capacitated facility location problem under uncertain demand and budget in each period. Using a scenario tree representation of the uncertainties, we formulate a multistage stochastic integer program to…

最优化与控制 · 数学 2022-07-19 Xian Yu , Siqian Shen

Location Routing is a fundamental planning problem in logistics, in which strategic location decisions on the placement of facilities (depots, distribution centers, warehouses etc.) are taken based on accurate estimates of operational…

离散数学 · 计算机科学 2021-08-06 Felipe Carrasco Heine , Antonia Demleitner , Jannik Matuschke

This paper presents a multiagent approach as a paradigm for scheduling parallel jobs in a parallel system. Scheduling parallel jobs is performed as a means to balance the load of a system in order to improve the performance of a parallel…

分布式、并行与集群计算 · 计算机科学 2015-06-29 Jaderick P. Pabico

This paper presents the design and analysis of parallel approximation algorithms for facility-location problems, including $\NC$ and $\RNC$ algorithms for (metric) facility location, $k$-center, $k$-median, and $k$-means. These problems…

数据结构与算法 · 计算机科学 2010-06-11 Guy E. Blelloch , Kanat Tangwongsan

We consider the problem of finding patrol schedules for $k$ robots to visit a given set of $n$ sites in a metric space. Each robot has the same maximum speed and the goal is to minimize the weighted maximum latency of any site, where the…

The Multi-Traveling Salesman Problem (MTSP) is a commonly used mathematical model for multi-agent task allocation. However, as the number of agents and task targets increases, existing optimization-based methods often incur prohibitive…

系统与控制 · 电气工程与系统科学 2025-12-01 Xiubin Chen

In this paper, we develop a class of decentralized algorithms for solving a convex resource allocation problem in a network of $n$ agents, where the agent objectives are decoupled while the resource constraints are coupled. The agents…

最优化与控制 · 数学 2018-12-18 Angelia Nedić , Alex Olshevsky , Wei Shi

We study the facility location games with candidate locations from a mechanism design perspective. Suppose there are n agents located in a metric space whose locations are their private information, and a group of candidate locations for…

计算机科学与博弈论 · 计算机科学 2020-11-02 Zhongzheng Tang , Chenhao Wang , Mengqi Zhang , Yingchao Zhao

We consider the Windows Scheduling problem. The problem is a restricted version of Unit-Fractions Bin Packing, and it is also called Inventory Replenishment in the context of Supply Chain. In brief, the problem is to schedule the use of…

数据结构与算法 · 计算机科学 2014-04-07 Martin Farach-Colton , Katia Leal , Miguel A. Mosteiro , Christopher Thraves

Given facilities with capacities and clients with penalties and demands, the transportation problem with market choice consists in finding the minimum-cost way to partition the clients into unserved clients, paying the penalties, and into…

数据结构与算法 · 计算机科学 2016-08-23 Karen Aardal , Pierre Le Bodic

The \textit{facility location} problem consists of a set of \textit{facilities} $\mathcal{F}$, a set of \textit{clients} $\mathcal{C}$, an \textit{opening cost} $f_i$ associated with each facility $x_i$, and a \textit{connection cost}…

分布式、并行与集群计算 · 计算机科学 2013-08-14 James Hegeman , Sriram V. Pemmaraju