A Colored Traveling Salesman Problem with Varying City Colors
A Colored Traveling Salesman Problem with Varying City Colors
复制标题
不同城市颜色的有色旅行推销员问题
DOI:
10.1155/2021/4533483
复制
发表时间:
2021-12
期刊:
影响因子:
--
通讯作者:
M.C. Zhou
中科院分区:
文献类型:
--
作者:
X. Meng;J. Li;M.C. Zhou
A colored traveling salesman problem (CTSP) is a path optimization problem in which colors are used to characterize diverse matching relationship between cities and salesmen. Namely, each salesman has a single color while every city has one to multiple salesmen’s colors, thus allowing salesmen to visit exactly once the cities of their colors. It is noteworthy that cities’ accessibilities to salesmen may change over time, which usually takes place in the multiwarehouse distribution of online retailers. This work presents a new CTSP with dynamically varying city colors for describing and modeling some scheduling problems with variable city accessibilities. The problem is more complicated than the previously proposed CTSP with varying edge weights. In particular, the solution feasibility changes as the cities change their colors, that is, a feasible original solution path may become no longer feasible after city colors change. A variable neighborhood search (VNS) algorithm is presented to solve the new problem. Specifically, a dynamic environment simulator with an adjustable frequency and amplitude is designed to mimic such color changes. Then, direct-route encoding, greedy initialization, and appropriate population immigrant are proposed to form an enhanced VNS, and then its performance is evaluated. The results of extensive experiments show that the proposed VNS can quickly track the environmental changes and effectively resolve the problem.
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DOI:
10.1109/tsmcc.2009.2023676
发表时间:
2010
期刊:
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
影响因子:
--
作者:
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通讯作者:
Shengxiang Yang;Hui Cheng;Fang Wang
DOI:
10.1016/j.trc.2010.09.007
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2011-08
影响因子:
8.3
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DOI:
10.1109/cis-ram47153.2019.9095780
发表时间:
2019-11
期刊:
2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM)
影响因子:
--
作者:
Shuo Wang;Jiandong Zhang;Zhen Zhang;Xiao Yu
通讯作者:
Shuo Wang;Jiandong Zhang;Zhen Zhang;Xiao Yu
影响因子:
7.8
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通讯作者:
S. Bopardikar;Stephen L. Smith;F. Bullo
影响因子:
1.4
作者:
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通讯作者:
Hong-min Chen;Yuanhang Zhang