对希望域执行变异操作。
同时，局部搜索和变异操作受决策概率控制。
Moreover, the local search and mutation were controlled by decision probability.
此方法采用实数值编码，并采取动态变异操作。
Floating encoding and dynamic mutation are applied in this method.
并采用并行变异代替传统的变异操作以改善算法收敛性能。
Instead of the traditional mutation operators, we use parallel mutation to improve the convergence performance.
对进化规划的变异操作、适应度计算及竞争选择方案进行了研究。
Studies the mutation operation, fitness calculation and competition-selection scheme of evolutionary programming method.
在标准粒子群算法中引入非线性变化权重和变异操作来保证全局收敛并提高收敛精度。
By introducing the nonlinear variation weight and mutational operation into the standard particle swarm algorithm to ensuring the overall convergence and enhance the accuracy of convergence.
该算法由正态云模型的Y条件云发生器实现交叉操作，由基本云发生器实现变异操作。
In this algorithm, Y-conditional cloud generator is used as the cross operator, and basic cloud generator as the mutation operator.
提出采用与十进制整数编码策略相结合的邻近变异操作算子，以避免二进制编码中的海明悬崖。
Adjacent mutation operator integrating with integer encoding strategy is presented to avoid the Hamming cliffs by binary encoding strategy.
在该方法中，提出了一种新的自适应变异操作技术及将遗传算法与BP算法进行自适应切换的实施方案。
A novel adaptive mutation technique and a scheme to shift the training of the network from the GA to the BP algorithm are proposed.
变异操作模拟自然界生物体进化中染色体上某位基因发生的突变现象，从而改变染色体的结构和物理性状。
The mutation operator is to produce a child from a parent individual by change the value of the specific position.
遗传算法是一种借鉴生物界自然选择和自然进化机制的搜索方法，通过对个体进行复制、交叉、变异操作完成搜索过程。
Genetic algorithms (GAs) are search algorithms based on of natural evolution processing including selection, mutation and crossover operations on the genes of individuals or potential solutions.
在断开连接的数据图形体系结构下，客户机将从数据源检索数据图，对数据图进行变异操作，然后将数据图更改应用回数据源。
Under the disconnected data graphs architecture, a client retrieves a data graph from a data source, mutates the data graph, and can then apply the data graph changes back to the data source.
该算法对简单遗传算法的编码方式、选择策略、交叉和变异操作进行了改进，使搜索效率有了很大的提高，有效地避免了早期收敛。
This algorithm improves on encoding, selection, crossover and mutation operations of SGA. It enhances searching efficiency greatly, and avoids effectively premature convergence.
这些操作系统的特定版本能够被构建进现已存在的值中，或者您可以定义另一个被称作OSVersion的属性来捕获每一个操作系统的更多变异。
Specific versions of these operating systems could be built into the existing values, or you could define yet another attribute called OS version to capture more specific variations of each OS.
结果该方法变异系数小，准确度高，操作简便易行。
RESULTS The method is accurate and easy to operate, and coefficient of variation is small.
基因遗传变异易含有较低的BDNF水平，也容易比没有遗传变异的人多了达两倍的机会丧失操作复杂任务的能力。
The men with a genetic tendency toward lower BDNF levels seemed to lose their ability to perform complicated tasks at almost double the rate of the men without the variation.
方法中引入几种交叉和变异算子同时操作，大大提高了辨识效率和辨识精度。
Several operations such as crossover and mutation are combined so as to improve the convergence rate in the process of parametric estimation.
结论熟悉喉返神经的正常解剖和变异，仔细操作，灵活掌握显露喉返神经的方法和指征，是预防喉返神经损伤的关键。
Conclusion a good command of the neck anatomy and the variation of RLN as well as careful operation and methods to expose RLN will provide the key to prevent the RLN injury in thyroid surgery.
但是粒子群算法没有遗传操作如交叉和变异，而是根据自己的速度来决定搜索。粒子还有一个重要的特点是记忆。
But the particle swarm without the inheritance operation such as cross and variation, decided the searching according to its speed, and particle has an important memory character.
该算法基于单种群，在演化过程中直接对当前种群进行变异、交叉和选择操作，无须差异演化算法中的中间过渡种群。
The new algorithm was based on single population without intermediate population, in which mutation operation, crossover operation and selection operation were used on the current population.
该法操作简单，测定结果准确。 该法的变异系数为052％，回收率为9997％。
The process is of easy operation and accurate results with 0.52% coefficient of variation and 99.97% recovery.
该法操作简单，测定结果准确。 该法的变异系数为052％，回收率为9997％。
The process is of easy operation and accurate results with 0.52% coefficient of variation and 99.97% recovery.
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