Chance-constrained programming for fuzzy quadratic minimum spanning tree problem

被引:0
|
作者
Gao, JW [1 ]
Lu, M [1 ]
Liu, LZ [1 ]
机构
[1] Tsing Hua Univ, Dept Math Sci, Beijing 100084, Peoples R China
关键词
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暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper investigates a minimum spanning tree (MST) problem with fuzzy costs and quadratic cost structure, which we call the fuzzy quadratic minimum spanning tree problem (FQMST). After formulating the FQMST problem as a chance-constrained programming model based on a credibility measure, the deterministic equivalent is proposed when the fuzzy direct costs and fuzzy interactive costs are characterized by trapezoidal fuzzy numbers. Then, a genetic algorithm is designed for solving FQMST problems. Finally, a numerical example is provided for illustrating the effectiveness of the genetic algorithm.
引用
收藏
页码:983 / 987
页数:5
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