[1]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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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
34
Number of periods:
2013 06
Page number:
94-98
Column:
Public date:
2013-12-30
- Title:
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Researchon Optimization ofStochastic Facility Location Problem Based onScenario Planning
- Author(s):
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WANGLai—jun; HU Da·wei; GAO Yang
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Key Laboratory of Automobile Transportation Safety Technology Ministry of Communication,Chang’An University,Xi’an 710064,China
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- Keywords:
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cenario planning; facility location; constrainedcapacity; genetic algorithm
- CLC:
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U491.13
- DOI:
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10.3969/j.issn.1671-6833.2013.06.023
- Abstract:
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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.