交叉熵方法(Cross-entropy Method)是一种解决组合优化问题的全局随机搜索算法,已经成功地被应用到许多经典的NP问题中.
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In this paper, we try to use the distributed cross-entropy method to solve multi-constrained Qos routing optimization.
本文尝试采用分布式的交叉熵方法，来解决多QoS约束路由优化问题。
参考来源 - 多约束QoS路由优化与仿真·2,447,543篇论文数据，部分数据来源于NoteExpress
本文基于投入产出表的交叉熵更新方法，度量并分析了1987-2002年期间中国产业结构的变化，得到以下结论。
The paper measures and analyzes change of China's industrial structure from 1987 to 2002 based on an Input-output table cross entropy updating method. We draw the following conclusions.
接着从信息熵的概念谈起，通过对小概率事件仿真方法的分析，引出交叉熵优化方法的思想。
Then, starting with the concept of information entropy and analysis about cross method for rare event simulation, this thesis introduces the basic idea of cross entropy optimization method.
基于信息论的交叉熵原理提出状态-测试关联灵敏度指标，并给出计算方法。
Based on the cross entropy principle in information theory, a novel index named state-test association sensitivity index is proposed together with its calculating methods.
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