Algorithm for solving the bi-level decision making problem with continuous variables in the upper level based on genetic algorithm

被引：1
|
作者：
肖剑
机构：
[1] Chongqing University, Chongqing 400030, P.R. China
[2] College of Mathematics and Physics
来源：
Journal of Chongqing University(English Edition) | 2005年 / 01期
关键词：
bi-level decision making; Monte Carlo simulated annealing; genetic algorithms;
D O I：
暂无
中图分类号：
O225 [对策论（博弈论）];
学科分类号：
070105 ; 1201 ;
摘要：
Based on genetic algorithms, a solution algorithm is presented for the bi-level decision making problem with continuous variables in the upper level in accordance with the bi-level decision making principle. The algorithm is compared with Monte Carlo simulated annealing algorithm, and its feasibility and effectiveness are verified with two calculating examples.
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页码：59 / 62
页数：4
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