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用遗传算法解决谈判中的冲突问题
Study on negotiation conflicting based on genetic algorithms
【摘要】 提出在遗传算法基础上,针对遗传算法的具体步骤,提出了针对谈判冲突问题的二进制编码方法,基于Nash谈判解的适用度函数的确定方法,初始群体生成的方法,最优个体的保存方法,重组操作方法,变异方法,确定了遗传算法中参数的取值域及终止规则.
【Abstract】 On the basis of working principle of generic algorithms,this paper brings forward the methods of encoding binary strings for negotiation issues,defining fitness function based on Nash barging solution,creating initial group,elitist model,recombination operation,uniform mutation,and conforms the span of parameters in generic algorithms and finishing rules of generic algorithms operation.
【关键词】 遗传算法;
谈判冲突;
群体决策支持;
Nash均衡;
【Key words】 generic algorithms; negotiation conflicting; group decision support systems; Nash equilibrium;
【Key words】 generic algorithms; negotiation conflicting; group decision support systems; Nash equilibrium;
- 【文献出处】 哈尔滨商业大学学报(自然科学版) ,Journal of Harbin University of Commerce(Sciences Edition) , 编辑部邮箱 ,2005年04期
- 【分类号】TP183
- 【被引频次】3
- 【下载频次】138