Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency
复制标题
具有最小-最大延迟的多机器人巡逻调度近似算法
DOI:
10.1007/978-3-030-66723-8_7
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Yang, Hao-Tsung
中科院分区:
文献类型:
--
作者:
Afshani, Peyman;de Berg, Mark;Buchin, Kevin;Gao, Jie;Löffler, Maarten;Nayyeri, Amir;Raichel, Benjamn;Sarkar, Rik;Wang, Haotian;Yang, Hao-Tsung
We consider the problem of finding patrol schedules forkrobots to visit a given set ofnsites 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 latency of a site is defined as the maximum time duration between consecutive visits of that site. The problem is NP-hard, as it has the traveling salesman problem as a special case (whenand all sites have the same weight). We present a polynomial-time algorithm with an approximation factor ofto the optimal solution, whereandare the maximum and minimum weight of the sites respectively. Further, we consider the special case where the sites are in 1D. When all sites have the same weight, we present a polynomial-time algorithm to solve the problem exactly. If the sites may have different weights, we present a 12-approximate solution, which runs in time.
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影响因子:
2.5
作者:
Arora, S
通讯作者:
Arora, S
影响因子:
--
作者:
M. Khachay;Katherine Neznakhina
通讯作者:
Katherine Neznakhina
DOI:
10.4230/lipics.socg.2017.5
发表时间:
2017
期刊:
The Journal of biological chemistry
影响因子:
--
作者:
Mikkel Abrahamsen;M. D. Berg;K. Buchin;M. Mehr;Ali D. Mehrabi
通讯作者:
Ali D. Mehrabi
DOI:
10.1016/j.jcss.2019.02.002
发表时间:
2019
期刊:
J. Comput. Syst. Sci.
影响因子:
--
作者:
Nir Drucker;M. Penn;O. Strichman
通讯作者:
O. Strichman