文献详情
Multiobjective Location Routing Problem considering Uncertain Data after Disasters
文献类型期刊
作者Chang, Keliang[1];Zhou, Hong[2];Chen, Guijing[3];Chen, Huiqin[4]
机构
通讯作者Chen, GJ (reprint author), Shanxi Datong Univ, Sch Math & Comp Sci, Datong 037009, Peoples R China.
来源信息年:2017  
期刊信息DISCRETE DYNAMICS IN NATURE AND SOCIETY影响因子和分区  ISSN:1026-0226
摘要The relief distributions after large disasters play an important role for rescue works. After disasters there is a high degree of uncertainty, such as the demands of disaster points and the damage of paths. The demands of affected points and the velocities between two points on the paths are uncertain in this article, and the robust optimization method is applied to deal with the uncertain parameters. This paper proposes a nonlinear location routing problem with half-time windows and with three objectives. The affected points can be visited more than one time. The goals are the total costs of the transportation, the satisfaction rates of disaster nodes, and the path transport capacities which are denoted by vehicle velocities. Finally, the genetic algorithm is applied to solve a number of numerical examples, and the results show that the genetic algorithm is very stable and effective for this problem.
收录情况SCIE(WOS:000398408800001)  
所属部门经济管理学院
DOI10.1155/2017/1703608
学科数学跨学科应用;综合性期刊
人气指数68
浏览次数68
基金Natural Science Foundation of China [71471007]
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