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多目标最优化的英文

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"多目标最优化"怎么读用"多目标最优化"造句

英文翻译手机手机版

  • multi-object optimization

例句与用法

  • Constrain qualifications about multiobject optimal programming
    多目标最优化问题的约束品性
  • Pso based on multiple target optimization
    多目标最优化的粒子群算法
  • Some properties of major efficient sets in multi - objective optimization
    多目标最优化中较多有效集的性质探讨
  • Sensitivity analysis in bilevel multiobjective optimization with perturbational parameters in lower level is considered , by using sensitivity analysis of set - valued optimization
    摘要借助集值优化问题的灵敏度分析,讨论了上层无扰动,下层带扰动参数的二层多目标最优化问题的灵敏度分析。
  • Then the definitions of pareto rule and pareto rule base put forward in some literatures are also extended , following the conclusion that the to solve the optimization control problem equals to build a pareto rule base
    然后将有关文献中对pareto规则和pareto规则基的定义做了推广,将多目标最优化控制问题转化为pareto规则基的获取问题。
  • By the multiple objective optimization , the diffusion angle of the ventilator volutes with high efficiency , low noise and high total pressure of the ventilators was calculated and selected according to the experimental data
    摘要根据实验数据,采用多目标最优化的方法,对效率高、噪声小、全压大等性能指标皆好的通风机蜗壳扩压角进行了理论计算选择。
  • In the paper , we discuss the multi - objective optimization anycast routing algorithm , the model of differentiated service and genetic algorithm based on the predecessors . at last , we will propose some new methods and ideas
    本文在总结、分析前人研究的基础上,围绕选播路由问题,对多目标最优化选播路由、区分服务模型、遗传算法等多个方面进行研究,提出了一些新方法和新思路。
  • Yet the optimization control problem of nonlinear systems still remains a very hard problem , especially in the mutiple case . up to now there is no explicit effective method available to solve the optimization control problem of nonlinear systems with multiple objects
    未知非线性系统的最优化控制问题一直是一个很因难的问题,尤其是在多目标最优化控制方面,到目前为止,还没有有效的方法来处理该类问题。
  • The simulation results show that the method can balance the network load and reduce the network congestion effectively . thirdly , aiming at the above two models , we study how to use the genetic algorithm solve them . according to the character of network topology , we propose our coding
    第三,针对上面所提出的两种多目标最优化模型,研究了如何利用遗传算法来求解多目标无约束最优化选播路由和多目标多约束最优化选播路由。
  • Thirdly , we study how to use the genetic algorithm solve the multi - objective optimization singlecast qos routing algorithm . the simulation result shows that the method can find singlecast route quickly and effectively . it also shows that the model can provide different service to different rank network data , balance the network load and reduce the network congestion effectively
    第三,研究了如何利用遗传算法来求解多目标最优化单播qos路由,仿真实验验证了算法能够快速有效地找到路径,并能为不同等级的数据提供不同质量的传输服务,有效地提高了网络资源利用率,平衡了网络负载,减少了网络拥塞。
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