Discrete evacuation in graphs with multiple exits

IF 1 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Theoretical Computer Science Pub Date : 2025-04-29 Epub Date: 2025-02-20 DOI:10.1016/j.tcs.2025.115141
Piotr Borowiecki , Shantanu Das , Dariusz Dereniowski , Łukasz Kuszner
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Abstract

In this paper, we consider the problem of efficient evacuation of mobile agents from distinct nodes in a graph to multiple exit nodes, while avoiding congestion and bottlenecks, and minimizing the total evacuation time. Each node in the graph can only hold one agent at a time, so the agents must choose their movements based on the locations of other agents to optimize the evacuation process. We consider two scenarios: the centralized (offline) and the distributed (online) setting. In the former one, the agents have complete information about the initial positions of other agents. In the distributed setting, agents lack prior knowledge of other agents' locations but can communicate locally with nearby agents and must adapt their strategy in an online fashion as they move and gather more information. In this study, we propose an offline polynomial time solution for determining the optimal evacuation strategy for all agents. In the online case, where agents can communicate at a distance of two in the graph, a constant-competitive algorithm is presented. Additionally, we demonstrate that when agents are heterogeneous and each type of agent can access only a certain subgraph of the original graph, computing the optimal strategy becomes NP-hard, even with full global knowledge. This result remains true even if there are only two types of agents or, even if the optimal evacuation time is a small constant.
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具有多个出口的离散疏散图
在本文中,我们考虑了移动代理从图中的不同节点到多个出口节点的高效疏散问题,同时避免了拥塞和瓶颈,并最小化了总疏散时间。图中的每个节点一次只能容纳一个agent,因此agent必须根据其他agent的位置选择自己的移动,以优化疏散过程。我们考虑两种场景:集中式(离线)和分布式(在线)设置。在前一种情况下,agent对其他agent的初始位置有完整的信息。在分布式环境中,代理缺乏对其他代理位置的先验知识,但可以与附近的代理进行本地通信,并且必须在移动和收集更多信息时以在线方式调整策略。在这项研究中,我们提出了一个离线多项式时间解来确定所有代理的最优疏散策略。在在线情况下,agent可以在图中的两个距离上进行通信,提出了一种恒定竞争算法。此外,我们证明了当智能体是异构的,并且每种类型的智能体只能访问原始图的某个子图时,即使具有完整的全局知识,计算最优策略也会变得np困难。即使只有两种类型的代理,或者即使最佳疏散时间是一个很小的常数,这个结果仍然成立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
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