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无标底招投标的Nash均衡模型及GA算法实现
引用本文:陈洁,李引珍. 无标底招投标的Nash均衡模型及GA算法实现[J]. 兰州交通大学学报, 2006, 25(4): 121-124
作者姓名:陈洁  李引珍
作者单位:兰州交通大学交通运输学院,甘肃兰州730070
摘    要:在分析现有无标底招投标规则的基础上,采用一般对象化方法,建立无标底招投标报价问题的无协作形式Nash均衡模型.在招投标报价中引入智能算法思想,运用并行选择遗传算法进行求解,并通过双矩阵的实例验证了该算法的有效性.

关 键 词:无标底招投标  Nash均衡模型  遗传算法
文章编号:1001-4373(2006)04-0121-04
收稿时间:2006-02-15
修稿时间:2006-02-15

Nash Equilibrium Model and Improved Genetic Algorithms of Inviting Tender without Bottom Price
Chen Jie,Li Yinzhen. Nash Equilibrium Model and Improved Genetic Algorithms of Inviting Tender without Bottom Price[J]. Journal of Lanzhou Jiaotong University, 2006, 25(4): 121-124
Authors:Chen Jie  Li Yinzhen
Affiliation:School of Traffic and Transportation Engineering, Lanzhou Jiaotong University, lanzhou 730070, China
Abstract:By analyzing the rules of inviting tender without bottom price, a more practical of non-cooperative game is presented in a generalized object theory. By adopting intelligent optimization algorithms, a Genetic Algorithm is presented on the base of the ideas of coordinate-select method which can increase the efficiency of GA. Finally the genetic algorithm is discussed and proved to be effective through computing and analyzing of a two matrix game.
Keywords:inviting tender without bottom price   Nash equilibrium   Genetic Algorithm
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