[1]王来军,胡大伟,高扬..基于场景规划的随机型设施定位问题优化研究[J].郑州大学学报(工学版),2013,34(06):94-98.[doi:10.3969/j.issn.1671-6833.2013.06.023]
 WANGLaijun,HU Da·wei,GAO Yang.Researchon Optimization ofStochastic Facility Location Problem Based onScenario Planning[J].Journal of Zhengzhou University (Engineering Science),2013,34(06):94-98.[doi:10.3969/j.issn.1671-6833.2013.06.023]
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基于场景规划的随机型设施定位问题优化研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
34
期数:
2013年06期
页码:
94-98
栏目:
出版日期:
2013-12-30

文章信息/Info

Title:
Researchon Optimization ofStochastic Facility Location Problem Based onScenario Planning
作者:
王来军胡大伟高扬.
长安大学汽车运输安全保障技术交通行业重点实验室,陕西西安,710064, 长安大学汽车运输安全保障技术交通行业重点实验室,陕西西安,710064, 长安大学汽车运输安全保障技术交通行业重点实验室,陕西西安,710064
Author(s):
WANGLai—junHU Da·weiGAO Yang
Key Laboratory of Automobile Transportation Safety Technology Ministry of Communication,Chang’An University,Xi’an 710064,China
关键词:
场景规划 设施定位 容量受限 遗传算法
Keywords:
cenario planningfacility locationconstrainedcapacitygenetic algorithm
分类号:
U491.13
DOI:
10.3969/j.issn.1671-6833.2013.06.023
文献标志码:
A
摘要:
针对求解一类随机型多设施定位问题,依据场景规划理论处理需求不确定情形,建立容量受限的随机优化数学模型,设计出对应的求解遗传算法;最后,给出了两种基于不同需求点容量分配模式的形式,并对模型目标函数、约束条件的构成和限制进行了分析,结果表明:采用符号编码方式的遗传算法,合理体现了问题的特点并使得问题规模得到有效控制,实际案例的求解结果表明场景规划方法及对应模型和算法实用可行.
Abstract:
n this paper,we studied a type of stochastic multi—facility location problem and deal with the an.predictablecapacity byusing the scenario planning.First,we presentted the optimization model of this prob.1em with capacity constraints,and designed a genetic algorithm to solving this problem.Concretely.wegave two differentmodelsbasedon the type of the facility capacity allocation,andsome analysis aboutthe objective function and constraint condition.Then,we proposed a genetic algorithm using symbolic coding.Symbolic coding methodmakes a smallerscale of themodel and reflects the problem’Scharacteristics.Last,weapplied the modeland the algorithm to reality case,and the results indicate that the scenario planning method,the modeland the algorithm are all efficient and effective.

参考文献/References:

[1] ANDREAS K,ANDREAS D. Facility location modelsfor distribution system design [ J]. European Journalof Operational Research,2005,162(1 ): 4 -29.

[2]In MIRCHANDANI P B,FRANCIS R L,Discrete lo-cation theory [ M ]. New York : Wiley-Interscience,1990 : 263 - 304.

更新日期/Last Update: 1900-01-01