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Scrolls profile optimization; Whewell equation; Nondominated Sorting Genetic Algorithm; Pareto optimal sets

涡旋型线;形状优化;Whewell方程;非劣优选遗传算法;Pareto最优解集

Based on variational principle and split-based interpolation finite element method for fast and accurate analysis of normal mode helical antenna,Combination of genetic algorithm and then load the normal mode helical antenna loaded on the value of lumped elements,Load location,and matching network integrated optimal design parameters,And using Sherman-morrisorr Woodbury formula to quickly solce the load component values and load the changed position of the impedance matrix equation to improve the efficiency of optimized design.

采用基于变分原理和剖分插值为基础的有限元法来快速精确分析法向模螺旋天线,然后结合遗传算法对加载法向模螺旋天线上的加载集总元件的值、加载位置以及匹配网络参数进行一体化优化设计,并采用Sherman-Morrisorr Woodbury公式来快速求解加载元件值和加载位置改变后的阻抗矩阵方程,提高优化设计的效率。

On this platform, membership function and fuzzy rules can expediently be designed arid optimized by genetic algorithm.

在该平台上可以方便地实现对隶属函数和规则集的设计并用遗传算法加以优化。

The matching results show that the integration model evaluating stock's credit risk which is built on the (t-1)year's variables well and truly forecasts the peccant behaviors' appearance of the test sample.

匹配结果显示:利用(t-1)年变量构造的粗糙集理论和遗传算法集成的股票信用风险评估模型,预测检验样本在t年违规行为出现的精度较高。

Lastly, anti-jamming method based on jittering orthogonal codes at different moments is studied, orthogonal codes are searched with the genetic algorithm, and random initial phase is also used in this method, so great anti-jamming performance is gotten, and the performance is testified through the simulation.

提出了基于正交编码捷变的抗干扰方法,使用遗传算法搜索正交编码集,在不同的慢时刻使用相互正交的编码信号,并与随机初相方法相结合,有效地抑制了基于转发的有源干扰。

This algorithm reduces the data of the text input vector by the data reduction method based on rough sets theory,searches and optimises the initial input of the BP algorithm by genetic algorithm.

分析BP算法的缺点,并结合遗传算法和粗糙集理论构造出一种基于Rough-GA-BP的文本分类方法。

This paper proposes a novel method to search for an optimal POS tagset using genetic algorithms.

本文提出了一种利用遗传算法来搜索优化的标记集的新方法。

The results of computations demonstrate that the path relinking algorithm can obtain better solutions than the standard genetic algorithm, the standard Tabu search procedure and the general path relinking algorithm, and prove that the solution update method of the reference set with diversification detection is very important to path relinking. Moreover, the decentralization mutation strategy can enhance the capacity of searching a better solution.

计算实例表明,该路径重连算法比标准遗传算法、标准Tabu搜索算法以及普通路径重连算法能够获得更好的解,证明了多样性检测对参考解集更新的关键作用以及分散性解变异策略在提高解的质量上的能力。

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