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算术杂交
相关语句
  arithmetic crossover
     The local search ability of arithmetic crossover operators common used in real coded genetic algorithms and their influence on the local search performance of the algorithms are analyzed based on the ability of the operators for tuning genes.
     从算子调节基因的能力着手,分析了实数编码遗传算法中常用的算术杂交算子的局部搜索能力及其对算法局部搜索性能的影响。
     Analysis of Local Search Ability of Arithmetic Crossover Operators
     算术杂交算子局部搜索能力分析
     In chapter 4, the Simple Genetic Algorithm is used to realize the optimal design of taper roller bearing. In account of the defect of Simple Genetic, the real coding is used, the constraints is process by annealing dynamic function, Arithmetic Crossover operator , immunity operator and Non-uniform Mutation operator are used.
     第四章首先运用基本遗传算法实现圆锥滚子轴承优化设计,通过仿真基本遗传算法实现圆锥滚子轴承优化设计的过程,分析其存在的问题,改进基本遗传算法,改进的遗传算法采用实数编码,在可行域内产生初始化群体,运用退火罚函数法处理约束,遗传算子采用算术杂交算子和非均匀变异算子,并借鉴了优解保留策略和构造免疫算子的思想。
短句来源
     The tuning probability of various arithmetic crossover operators for genes (pair) in chromosome (pair) is given.
     给出了各种算术杂交算子对染色体(对)的基因(对)的调节概率;
     The relationship between the tuning ability of the arithmetic crossover operator for population and the elements in the algorithm such as the match method、the probability of crossover and the tuning probability of the arithmetic crossover operator for genes is revealed.
     阐明了算术杂交算子对群体的调节能力与配对方法、杂交概率和算子对基因的调节概率的关系;
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  “算术杂交”译为未确定词的双语例句
     In this algorithm decimal coding (which is suit for multi-dimension search) is adopted, the arithmetic crossovering and adaptive mutation are also introduced.
     该遗传算法采用十进制编码(更适合高维搜索),并且引入了遗传算法的最新思想——算术杂交思想和自适应变异思想。
短句来源
     On the basis of analyzing and summarizing the fundamental theory and research achievement of genetic algorithm, this paper proposed a new method of dynamic optimization of structure based on genetic algorithm. A new generalized genetic algorithm was presented in this paper and the corresponding program was designed. Many new theories such as integer code, real code, population isolation, optimum reserved strategy and adaptive random mutation were used.
     本文在分析综合近期遗传算法研究成果的基础上,提出了一种基于遗传算法的结构动力优化方法,并采用整数编码、实数编码、种群隔离机制、最优保持策略、算术杂交、自适应随机变异等新理论设计了新的广义遗传算法,编制了相应的算法程序。
短句来源
     Floating point coding, arithmetical crossover, and non-uniform mutation were used in the genetic algorithm in the inversion of each section.
     在每一深度段使用浮点编码、算术杂交和非均匀变异的遗传反演方法 ; 在 10次独立反演后 ,依据适应度选出 5 0个优秀模型 ,对其加权平均得到该段的最终速度结构 .
短句来源
     By the evolution programs the method can search the best solution from many initial points simultaneously and obtain the total optimum solution of concrete creep model parameters with real chromosome, nonhomogeneous variation, simple crossover and arithmetical crossover operators.
     利用演化程序特点,染色体采用实数表达方式,从多个初始点开始并行寻优,遗传过程包含了非均匀变异、算术杂交和简单杂交算子,避免算法过早收敛于局域最优,使优化的效率得到提高。
短句来源
     Due to the linear search capability of algebra crossover operator and random search capability of mutation operator, the efficiency of real-coded genetic algorithm (RGA) is very bad.
     由于算术杂交算子的线性搜索范围及变异算子的随机搜索,导致了实数遗传算法的效率较低.
短句来源
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  相似匹配句对
     Analysis of Local Search Ability of Arithmetic Crossover Operators
     算术杂交算子局部搜索能力分析
     northern hybridization.
     Northern杂交
短句来源
     ARITHMETIC OF ORDINALS
     序数算术
短句来源
     e-Hybrid Rice
     e杂交
短句来源
     From Arithmetic to Algebra
     从算术到代数
短句来源
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  arithmetic crossover
For an individual being real coding, arithmetic crossover operator is adopted.
      
For this work, a floating-point encoded evolutionary algorithm with arithmetic crossover and mutation operations was applied.
      


To study the depths of seismic discontinuities in the upper mantle using the observed receiver function, this paper developed an inversion method of peeling genetic algorithm. The whole studied depth is divided into several sections from surface, and then inversion is made for each section. The effects of multiple reflected and reflect-transformed phases at the shallower discontinuities on the refract-transformed phase at the deeper one are peeled. Floating point coding, arithmetical crossover, and non-uniform...

To study the depths of seismic discontinuities in the upper mantle using the observed receiver function, this paper developed an inversion method of peeling genetic algorithm. The whole studied depth is divided into several sections from surface, and then inversion is made for each section. The effects of multiple reflected and reflect-transformed phases at the shallower discontinuities on the refract-transformed phase at the deeper one are peeled. Floating point coding, arithmetical crossover, and non-uniform mutation were used in the genetic algorithm in the inversion of each section. The method was checked using the model ispai'91 and applied to the inversion of velocity structure beneath HIA station.

探讨了使用台站接收函数反演得到上地幔速度结构和间断面深度的一种方法———剥壳遗传算法 .由地表至深部分成几个深度段 ,逐段反演速度结构 ,并在接收函数曲线上剥离浅处间断面的多次反射震相和反射转换震相对深部间断面的一次透射转换相的影响 .在每一深度段使用浮点编码、算术杂交和非均匀变异的遗传反演方法 ;在 10次独立反演后 ,依据适应度选出 5 0个优秀模型 ,对其加权平均得到该段的最终速度结构 .所形成的方法和程序 ,用iasp’91模型进行数值检验之后 ,又反演了海拉尔台的观测接收函数 ,给出台下深至 70 0km的速度结构和主要间断面埋藏深度及速度跃变量 .

An effective strategy based on real coded genetic algorithms was developed to optimize the operating conditions of simulated moving bed chromatography. The optimization algorithm's objection function was the normalized production intensity. In addition, the n exponent of purity was used as penalty function. The fitness of real coded genetic algorithm fitness was calculated with steady model of simulated moving bed chromatography. In order to satisfy the constrain conditions of simulated moving bed chromatography,...

An effective strategy based on real coded genetic algorithms was developed to optimize the operating conditions of simulated moving bed chromatography. The optimization algorithm's objection function was the normalized production intensity. In addition, the n exponent of purity was used as penalty function. The fitness of real coded genetic algorithm fitness was calculated with steady model of simulated moving bed chromatography. In order to satisfy the constrain conditions of simulated moving bed chromatography, the arithmetic crossover and completelynon uniform mutation were used as the operators of the real coded genetic algorithm. The parameters of real coded genetic algorithm were population size 60, probability of crossover 40%, probability of mutation 10%, and generation 1?000, respectively. With this algorithm, it was easy to find the optimization condition of simulated moving bed chromatography separating progress under nonlinear condition. Then, this optimization algorithm was used to optimize the separation condition of mother liquid of xylitol with simulated moving bed chromatography. It was found that the optimized separation conditions of different purity products could be gotten by changing the value of penalty function coefficient n. When n value changed from 5 to 80, the purity of products changed from 9465% to 9986% with optimized operating conditions. And the computer emulated results and the experimental results were compared when the n value equals to 20. The results showed that they were coincident. The purities of xylitol and xylose from experimental results were 9951% and 9926%, respectively.

开发了一种基于浮点编码遗传算法的模拟移动床色谱优化方法。该优化方法中将归一化的生产强度取最大值作为目标函数,同时将纯度的n次方作为罚函数。运算过程中浮点编码遗传算法的适度值由模拟移动床色谱的稳态模型求得。为了保证遗传算法每一代的个体均满足模拟移动床色谱本身的约束条件,算术杂交和完全非均匀变异被用作演化算子。采用该算法很容易得到模拟移动床色谱分离过程中非线性条件下的最优条件。这种优化算法被应用于木糖醇母液的模拟移动床色谱,结果表明当罚函数指数n值由小到大变化时,可以得到产品纯度由低到高的最优分离条件。进一步比较了当n值为20时的实验值与仿真值后发现,实验结果与仿真值相吻合,木糖和木糖醇的纯度分别达到99 51%和99 26%。

After elaborating the theory of the genetic algorithm, including the coding,initial population, fitness function, genetic operation and controls parameter of arithmetic, this paper presents its application to feed diet of fishing in detail. It adopts real coding, linear ranking selection, arithmetical crossover and nonconforming mutation. The results show that this algorithm is better than the optimization of common application mathematics in the feed diet of fishing. It mainly embodies that the unitage cost...

After elaborating the theory of the genetic algorithm, including the coding,initial population, fitness function, genetic operation and controls parameter of arithmetic, this paper presents its application to feed diet of fishing in detail. It adopts real coding, linear ranking selection, arithmetical crossover and nonconforming mutation. The results show that this algorithm is better than the optimization of common application mathematics in the feed diet of fishing. It mainly embodies that the unitage cost price of the former is lower than that of latter. Due to resolving the long degree non-linear problem with more factors, the diet by the genetic algortithm more well and truly accords with the nutrition tontent criterion of corresponding fish.

首先阐述了参数编码、初始群体、适应度函数、遗传操作以及算法控制参数等遗传算法基本原理,然后着重介绍其在渔饲料配方中的应用,在该应用中采用了实数编码、基于线性排名的选择、算术杂交和非一致变异等遗传算法方法。结果表明,在渔饲料配方优化中应用遗传算法要优于目前饲料配方软件中大多采用的常规应用数学的优化方法。主要体现在单位产量饲料配方中的成本价格前者要低于后者。由于遗传算法能够解决因子较多,非线性程度高的问题,从而得出的饲料配方能更好的符合相关鱼种的营养含量标准。

 
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