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crossover rate
相关语句
  交叉率
     A Study of the Relationship of Crossover Rate and Mutation Rate in Genetic Algorithm
     遗传算法交叉率与变异率关系的研究
短句来源
     The Genetic Algorithms with Adaptive Crossover Rate Based on Individuals' Similarity
     基于个体相似度交叉率自适应的遗传算法
短句来源
     The recommended range of crossover rate and mutation rate is given in simple genetic algorithm, and the two rates for selection is not correlative.
     基本遗传算法给出了选取交叉率与变异率的推荐范围 ,两种概率的选取是相互独立的 .
短句来源
     The applications show that conclusion is a guide to rational selection of crossover rate and mutation rate.
     应用表明 ,这一结论对于合理选取交叉率与变异率有一定的指导意义
短句来源
     A modidfied genetic algorithm is used which can adjust the crossover rate and mutation rate self adaptively to optimize the membership functions and the initial value of the quantifying factors and to adjust quantifying factors on line based on the output of control searching table.
     采用根据个体适应度来自适应调节交叉率和变异率的遗传算法来优化模糊控制器中的隶属函数和量化因子的初始值 ,并同时根据控制查询表的输出来在线调整量化因子 .
短句来源
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  交叉概率
     The algorithm is based on the adaptive mutation operator and crossover operator that adjusts the crossover rate and frequency of mutation of each individual, and adopts the gradient of the individual to decide their mutation value.
     该算法基于自适应交叉概率算子和变异算子,根据进化代数和群体的适应值,动态调整各个个体的交叉概率和变异概率,并在变异量的确定上引入了梯度的概念.
短句来源
     To solve these problems,isolation mechanism and self adapting technique are studied in this article,and we find isolation mechanism plays important roles in evolution and can actively improve the diversity of populations,while crossover rate and mutation rate are not only related to fitness function value but also affected greatly by evolution eras.
     针对这些缺陷,本文通过对自然界中隔离机制和自适应技术的研究,发现隔离机制对于改善种群的多样性等方面有良好的作用,而交叉概率和变异概率不仅与自身的适应度值有关而且同进化代数有较大关系.
短句来源
     Considering the existence of multi-objective function,nonlinearity,and multiple constraints,an improved genetic algorithm with penalty strategy was proposed,in which the crossover rate and mutation rate were changed according to fitness function,to reduce time complexity greatly compared to the traditional enumeration algorithm.
     针对优化模型中存在的多目标、非线性和多约束特点,提出一种根据适应度函数自动调整交叉概率和变异概率的改进遗传算法,并结合惩罚策略求解最优调配方案。
短句来源
     Result shows that the searching efficiency is most high under population n=20, crossover rate pc =0.5 and mutation rate pm =0.01. the optimization solution is gained under the group of genetic parameter for five different irrigation volume.
     结果显示初始群体n=20,交叉概率pc=0.5,变异概率pm=0.01时遗传算法寻优效率最高。 同时在该组最优组合参数下,对模型的5 种灌水量水平进行了优化求解,并得到了模型的最优解。
  “crossover rate”译为未确定词的双语例句
     Adaptive Crossover Rate and Mutation Rate in Genetic Algorithms
     具有自适应交换率和变异率的遗传算法
短句来源
     The electrochemical test results showed that compared with the anode catalyst layer without adding pore former,the electrochemical active surface of anode catalyst layer adding pore former increased 26.6%,the current density increased 53% at anode potential of 400 mV,the methanol crossover rate decreased 12.5% at open circuit potential,the peak power density of DMFC increased from 186 mW/cm2 to 235 mW/cm2 at 80 ℃ and 0.2 MPa oxygen condition.
     开路电位下的甲醇渗透率降低了12.5%; 在80℃、0.2 MPa氧气条件下,DMFC的最高功率密度由186 mW/cm2提高到235 mW/cm2。
短句来源
     It was found that ethanol shows a lower crossover rate than methanol throughthe Nafion membrane.
     实验结果表明与相同浓度的甲醇水溶液相比,透过Nafion膜的乙醇的渗透率低于甲醇的渗透率。
短句来源
     During the optimization based on genetic algorithm, this paper simulates the evolution rules of the natural species, adopting the subsection adaptive crossover rate and mutation rate, using the mechanism of simulated annealing algorithm to control the populations' selection, introducing the eugenics principle to strengthen the potential advantage, and describes the optimization parameters with the structure of neural networks;
     在遗传算法优化中,通过模拟自然界物种的进化规则,采用了分段自适应交叉变异概率,用整体模拟退火机制控制代间选择,采用优生学原理强化性状差异的遗传优势,并将优化参数以神经网络结构通用表达;
短句来源
     This dissertation analysis the basic principles and features of Genetic Simulated annealing Algorithm(GSA), GSA avoid the shortcoming of Simulated Annealing slowing and prevent the Genetic Algorithm's premature, according to the distribution network features, this dissertation improves the fitness function, crossover rate and mutation rate.
     本文对遗传模拟退火算法的基本原理以及特点进行了研究分析,遗传模拟退火算法既避免了模拟退火算法速度慢的缺点,又防止了遗传算法易“早熟”收敛的问题。
短句来源
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  crossover rate
We then perform a preliminary test to set the best values of the control parameters, namely the population size, crossover rate and mutation rate.
      
The data show that the crossover rate between heterozygous inversions of the third chromosome of D.
      
The resultant maps reveal a very much lower crossover rate within heterochromatin-estimated at 0.8 c.m./μ-than for euchromatin-estimated at 4.8 c.m./μ for the short arm and 5.7 for the long arm.
      
These sequence features may contribute to broad-scale variation in crossover rate and, thus, shed light on features associated with crossover rate heterogeneity at a genome-wide scale.
      
Broad-scale differences in crossover rate across the genome have been characterized in most genomes studied.
      
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Direct torque control (DTC) is the simplest torque control of induction machines for industrial application.The key components of DTC is the state selector.In this paper,we will discuss to train the neural network using a genetic algorithm.The neural network is used to simulate the state selector of the conventional DTC.The simulations that have been performed were obtained using the trained state selector neural network instead of the conventional DTC for the same machine.The simulation results are satisfying.In...

Direct torque control (DTC) is the simplest torque control of induction machines for industrial application.The key components of DTC is the state selector.In this paper,we will discuss to train the neural network using a genetic algorithm.The neural network is used to simulate the state selector of the conventional DTC.The simulations that have been performed were obtained using the trained state selector neural network instead of the conventional DTC for the same machine.The simulation results are satisfying.In addition,we have been tried simply the effect of change in crossover rate and mutation rate.

直接转矩控制(DTC)是工业应用感应电机的最简单的控制.它的关键部件是状态选择器.本文将讨论用神经网络来模拟通常的DTC的状态选择器,并区用遗传算法训练该神经网络.然后用训练好的神经网络代替状态选择器,在同一台机器上进行了仿真比较,得到满意结果.另外,还粗略地试验了遗传算法中一些参数对算法性能的影响.

In this paper,genetic algorithm is applied to inverse problem of manipulator kinematics.Operating method of selection and crossover is analysed,and the algorithm is given.The methods are proposed for offset crossover points in multi-point crossover,the effect of crossover rate and mutation rate is analysed.The method presented in this paper is tested and proved reasonable and feasible through its application to the underwater manipulator“SIWR-Ⅱ”.

遗传算法应用于机械手运动学逆问题求解,对选择、突然变异等操作进行分析并给出相应的算法.提出了转换编码及多点交叉操作中交叉点偏置的方法,并对交叉率和变异率的影响规律进行了分析和探讨.通过SIWR-Ⅱ型水下机械手的实例计算,验证了所提出的方法的有效性和可行性.

Genetic algorithm has been deemed a powerful tool for searching global optimality in power system problems. But it has a weakness in taking too much time to reach a fine satisfactory solution. This paper proposes to use fuzzy logic controller to speed up the convergence of the crossover and mutation process. In this paper, two fuzzy logic controllers are implemented to adaptively adjust the crossover rate and mutation rate during the optimization process. The method was tested by an economic emission...

Genetic algorithm has been deemed a powerful tool for searching global optimality in power system problems. But it has a weakness in taking too much time to reach a fine satisfactory solution. This paper proposes to use fuzzy logic controller to speed up the convergence of the crossover and mutation process. In this paper, two fuzzy logic controllers are implemented to adaptively adjust the crossover rate and mutation rate during the optimization process. The method was tested by an economic emission load dispatch problem, and showed a performance much better than that of the stochastic method.

遗传算法被认为是解决全球电力系统问题的有效工具。但使用它来得到满意的答案却有着耗时过多的缺点。本文的目的在于引进模糊逻辑控制器来加快交叉与突变过程的收敛速度。这种方法已经过电力系统经济调度问题的测试,并且已被证明比随机方法更胜一筹。

 
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