Fuzzy multilevel programming with a hybrid intelligent algorithm

被引：57
作者：
Gao, JW [1 ]
Liu, BD [1 ]
机构：
[1] Tsing Hua Univ, Dept Math Sci, Uncertainty Theory Lab, Beijing 100084, Peoples R China
来源：
COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2005年 / 49卷 / 9-10期
基金：
高等学校博士学科点专项科研基金; 中国国家自然科学基金;
关键词：
multilevel programming; fuzzy programming; genetic algorithm; neural network;
D O I：
10.1016/j.camwa.2004.07.027
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In order to model fuzzy decentralized decision-making problem, fuzzy expected value multilevel programming and chance-constrained multilevel programming are introduced. Furthermore, fuzzy simulation, neural network, and genetic algorithm are integrated to produce a hybrid intelligent algorithm for finding the Stackelberg-Nash equilibrium. Finally, two numerical examples are provided to illustrate the effectiveness of the hybrid intelligent algorithm. (c) 2005 Elsevier Ltd. All rights reserved.
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页码：1539 / 1548
页数：10
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