| Fuzzy Transportation Problem and Its Hybrid Intelligent Algorithm |
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| 作者姓名： | ZHONG Bo ZHANG Xian-jun PENG Tao |
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| 作者单位： | College of Mathematics and Physics Chongqing University , Chongqing 400030, China |
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| 摘 要： | The authors investigate a more practical transportation problem under fuzzy environment, that is , capacities of supplies and demands in the transportation problem are fuzzy variables. To obtain a directive decision, the authors construct a mathematical model for the fuzzy transportation problem based chance constrained programming and dependent chance programming in fuzzy environment. In addition, since there are many complex fuzzy variables in the mathematical model, the authors design the genetic algorithm to solve the model based on fuzzy simulation. Finally, they give a numerical example to show the efficiency of the algorithm.
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| 关 键 词： | fuzzy transportation problem chance constrained programming dependent chance programming genetic al- gorithm |
| 收稿时间： | 3/1/2006 12:00:00 AM |
| 修稿时间： | 3/1/2006 12:00:00 AM |
Fuzzy Transportation Problem and Its Hybrid Intelligent Algorithm |
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| ZHONG Bo,ZHANG Xian-jun,PENG Tao.Fuzzy Transportation Problem and Its Hybrid Intelligent Algorithm[J].Storage & Process,2006(7):95-97123. |
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| Authors: | ZHONG Bo ZHANG Xian-jun PENG Tao |
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| Institution: | College of Mathematics and Physics Chongqing University , Chongqing 400030, China |
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| Abstract: | The authors investigate a more practical transportation problem under fuzzy environment, that is , capacities of supplies and demands in the transportation problem are fuzzy variables. To obtain a directive decision, the authors construct a mathematical model for the fuzzy transportation problem based chance constrained programming and dependent chance programming in fuzzy environment. In addition, since there are many complex fuzzy variables in the mathematical model, the authors design the genetic algorithm to solve the model based on fuzzy simulation. Finally, they give a numerical example to show the efficiency of the algorithm. |
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| Keywords: | fuzzy transportation problem chance constrained programming dependent chance programming genetic al- gorithm |
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