Linear Programming Method for Solving Semi-Latticized Fuzzy Relation Geometric Programming with Max-Min Composition

被引:25
作者
Yang, Xiao-Peng [1 ]
机构
[1] Hanshan Normal Univ, Dept Math & Stat, Chaozhou 521041, Guangdong, Peoples R China
基金
中国博士后科学基金;
关键词
Fuzzy relation equation; geometric programming; latticized programming; max-min composition; nonlinear optimization; Peer-to-Peer network system; RELATION EQUATION CONSTRAINTS; RELATION INEQUALITY CONSTRAINTS; NONLINEAR OPTIMIZATION PROBLEMS; OBJECTIVE FUNCTION; PRODUCT COMPOSITION; ALGORITHM; SUBJECT; RECONSTRUCTION; SYSTEM; IMAGES;
D O I
10.1142/S0218488515500348
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Motivated by application in BitTorrent-like Peer-to-Peer resource sharing system, we introduce the maximization and minimization semi-latticized fuzzy relation geometric programming problems with max-min composition in this paper. The objective function in the proposed problem in nonlinear and the feasible domain is non-convex. The maximization problem is converted into a fuzzy relation monomial geometric programming and then solved. However, this approach is not effective for the minimization one. The linear programming method is applied to deal with the minimization problem. A step-to-step algorithm is develop to carried out the linear programming method and tow illustrative examples are provided at last.
引用
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页码:781 / 804
页数:24
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