|本期目录/Table of Contents|

[1]冯舰锐,盖文妹.应急物资储备点选址多目标优化模型及算法研究[J].中国安全生产科学技术,2018,14(6):64-69.[doi:10.11731/j.issn.1673-193x.2018.06.010]
 FENG Jianrui,GAI Wenmei.Research on multiobjective optimization model and algorithm for reserve site selection of emergency materials[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2018,14(6):64-69.[doi:10.11731/j.issn.1673-193x.2018.06.010]
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应急物资储备点选址多目标优化模型及算法研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
14
期数:
2018年6期
页码:
64-69
栏目:
职业安全卫生管理与技术
出版日期:
2018-06-30

文章信息/Info

Title:
Research on multiobjective optimization model and algorithm for reserve site selection of emergency materials
文章编号:
1673-193X(2018)-06-0064-06
作者:
冯舰锐盖文妹
(中国地质大学(北京) 工程技术学院,北京 100083)
Author(s):
FENG Jianrui GAI Wenmei
(School of Engineering and Technology, China University of Geosciences, Beijing 100083, China)
关键词:
应急管理多目标优化应急物资选址
Keywords:
emergency management multiobjective optimization emergency materials site selection
分类号:
X913.4
DOI:
10.11731/j.issn.1673-193x.2018.06.010
文献标志码:
A
摘要:
为应急物资储备点的选址问题提供一个合理的解决方法,提高应急救援工作的响应能力,基于运筹学中求解多目标优化问题的理论和方法,根据紧急情况下物资运输调度的时效性与经济性特征,构造相应目标函数,引入权重综合考虑时效性和经济性,并利用可变权重因子构造辅助函数,进而建立应急选址问题的优化模型;在此基础上,借用智能算法中系统动态演化方法,提出求解权重的算法,并拓展到多目标决策,将多目标问题逐步转化为单目标问题进而解决;实例计算结果验证了所提算法的正确性及优势,以及求解效率、辅助函数性质的正确性,可以为决策者提供多种在灾变条件下的选择方案;此外,提出的算法也可用于应急管理领域中其他相关优化与选址问题。
Abstract:
To provide a reasonable solution for the problem of site selection for the reserve sites of emergency materials, and improve the response ability of emergency rescue work, based on the threory and method to solve the multiobjective optimization problem in the operational research, the corresponding objective functions were constructed accoring to the characteristics of timeliness and economy in the transportation and scheduling of emergency materials under the emergency situation. The timeliness and economy were comprehensively considered by introducing into the weights, and the auxiliary functions were constructed by using the variable weight factor, thus the optimization model of emergency site selection was established. On this basis, the algorithm for solving the weights was put forward by using the system dynamic evolution method of the intelligent algorithm, and it was extended to the multiobjective decisionmaking to convert the multiobjective problem into the single objective problem step by step for solving. The correctness and advantages of the proposed new algorithm were verified by the calculation results of case, as well as the solving efficiency and the correctness of the properties of auxiliary functions. It can provide various selection schemes under the catastrophic conditions to the decision makers, and can also be applied in other relevant optimization and site selection problems in the field of emergency management.

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备注/Memo

备注/Memo:
国家自然科学基金(71603017);中国地质大学(北京)基本科研业务费优秀教师基金项目(53200759046);中国地质大学(北京)2018年大学生创新创业项目(A386)
更新日期/Last Update: 2018-07-05