Triangle evacuation of 2 agents in the wireless model & the power of choosing a starting point

IF 0.9 3区 计算机科学 Q1 BUSINESS, FINANCE
Konstantinos Georgiou , Woojin Jang
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引用次数: 0

Abstract

The input to the Triangle Evacuation problem is a non-obtuse triangle ABC. A feasible solution is two unit-speed trajectories of mobile agents that start at some point on the perimeter and eventually visit every point on the perimeter of ABC. The goal is to find trajectories that minimize the evacuation cost, defined as the supremum, over all points T, of the time when T is first visited by one agent plus the distance from T to the other agent at that time. We introduce 4 different algorithmic problems arising by letting the starting edge and/or the starting point S on that edge to be chosen either by the algorithm or the adversary. To that end, we provide a tight analysis for the algorithm that has been proved to be optimal for the previously studied search domains, as well as we provide lower bounds for each of the problems.
无线模型中2个智能体的三角疏散&起点选择的权力
三角形疏散问题的输入是一个非钝角三角形ABC。一个可行的解决方案是移动代理的两个单位速度轨迹,它们从圆周上的某一点开始,最终访问ABC圆周上的每一个点。目标是找到最小化疏散成本的轨迹,定义为在所有点T上,当一个智能体第一次访问T时加上此时从T到另一个智能体的距离。我们介绍了4种不同的算法问题,这些问题是由算法或对手选择起始边和/或该边的起始点S引起的。为此,我们对算法进行了严密的分析,该算法已被证明是先前研究的搜索域的最佳算法,并为每个问题提供了下界。
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
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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