Emergency Supplies Center Location Clustering Model Based on Imperialist Competitive Algorithm

被引：0
|
作者：
Wang, Haoran [1 ]
Sun, Zexuan [1 ]
Liao, Chengyang [1 ]
Cui, Wanru [2 ]
Zhang, Qingyong [1 ]
机构：
[1] Wuhan Univ Technol, Sch Automat, Wuhan, Peoples R China
[2] Wuhan Univ Technol, Sch Transportat, Wuhan, Peoples R China
来源：
2019 34RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2019年
关键词：
location problem; emergency supplies center; clustering model; ICA;
D O I：
10.1109/yac.2019.8787692
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, 2017's hurricane relief in Puerto Rico as the background, a k-means clustering model based on constrained multi-objective multi-sourced weber problem is introduced to determine the optimal locations of emergency material centers, which minimizes distance between road points and emergency supplies centers and weighted distance between hospitals and emergency supplies centers. To effectively solve the model aforementioned. a novel imperialist competitive algorithm (ICA) is proposed which compares two solutions with the lexicographical method. Finally, the results of real data are given and show the effectiveness in solving the problem.
引用
收藏
页码：375 / 380
页数：6
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