在进化过程中采用自适应交叉概率和变异概率。
In the process of evolution, the adaptive crossover probability and mutation probability are developed.
为了减少近亲遗传，文中还设计了一种自适应交叉概率。
To avoid propinquity inheritance, a kind of self adaptive crossover probability is also designed and better optimization is gained.
同时，采用时变交叉概率因子的方法以提高算法的全局搜索能力和收敛速率。
At the same time, the method of time-varying crossover probability factor was adopted to improve the global searching ability and convergence speed of MDE.
运用自适应理论改进交叉概率及变异概率，算法本身总能找到适合于自己得交叉概率和变异概率。
The crossover probability and mutation probability are improved on self-proper theory, so that the proper numbers of crossover probability and mutation probability can be found.
最后，对提出的自适应交叉概率和自适应变异概率利用遗传算法的公理化理论进行了收敛性的证明。
We proved the convergence of GA which we proposed adaptive fitness functions, adaptive crossover probability and adaptive mutation probability.
算法的核心思想在于利用云模型理论生成交叉和变异概率。
The core idea of the algorithm is to use the cloud model theory to generate crossover and mutation probability.
遗传运算参数中的交叉和变异概率随种群结构特征动态变化。
And the probability of crossing and aberrance would be dynamically changed with the structure of population.
给出了各种复合衰落的概率密度函数、累积分布函数、平均电平交叉率、平均衰落时间的统一表达式。
The probability density function, cumulative distribution function, average level crossing rate and average fade duration of each composite fading channel are analyzed, and some uniform expression.
对于模型的求解方法，构造了一种自适应的混沌遗传算法，采用自然数编码方式，动态的在线调整算法的交叉和变异概率，并采用混沌优化方法作为变异算子。
The algorithm used natural number coding method with dynamically adjustment for the probability coefficients of crossover and mutation, and used chaos optimization method as the mut.
建立家庭分类概率模型，可以对使用交叉分类分析法的交通产生预测提供基础数据。
The classification probability model of household can provide the element datum of traffic trip generation forecast which use cross classification method.
它属于概率论与最优化理论的一个交叉研究领域，是最优停止理论中的一个著名问题。
As a famous problem of optimal stopping theory, it constitutes a field of study within probability-optimization.
该算法在解空间内将实数染色体通过反向变换映射到量子位，采用量子位概率指导的实数交叉与混沌变异相结合的方法对实数染色体进行演化搜索。
In this algorithm, real chromosomes were inversely mapped to Qbits in the solution space. Qbits probability guided real cross and chaos mutation were used to real chromosomes evolution and searching.
另一方面交叉矩阵使适值高的个体以低概率交叉，在一定程度上改善了算法的收敛性。
On the other hand, crossover matrix makes it possible for higher fitness individuals to cross at lower probability and accordingly improves the convergence to some degree.
在算法中采用了自然数编码、随机选取种群、简单的“双亲单子”交叉策略和固定的突变概率。
The natural number coding, the random population selection, the simple crossover strategy of "two-parents-and-one-kid" and the fixed mutation probability were totally adopted.
语音识别技术是一门涉及信号处理技术、模式识别、概率论和信息论、语音学、人工智能等多种学科的交叉科学。
Speech Recognition Technology is related to Signal Processing, Pattern Recognition, Probability and Information Theory, Speech Subject and Artificial Intelligence and so on.
通过引入自适应交叉和突变的概率公式到系统中，改进传统的交叉和突变的遗传操作，局部搜索能力得到增强。
By introducing the adaptive cross and mutative probability formula into the system to improve the conventional cross and mutative genetic operation, the local search ability is enhanced.
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.
利用概率论和排队论，该方法兼顾了车流离散和车队在交叉口的随机变化。
By using the probability theory and queuing theory, the proposed approach incorporates both platoon dispersions and the stochastic variations of the queue at the intersection.
基于此，给出了进化个体的自适应交叉和变异概率。
Based on these, the adaptive probabilities of crossover and mutation operation of an evolutionary individual are presented.
基于此，给出了进化个体的自适应交叉和变异概率。
Based on these, the adaptive probabilities of crossover and mutation operation of an evolutionary individual are presented.
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