dynamic mutation

Dynamic mutation inheritance and gene diagnosis in a fragile X syndrome family

一脆性X综合征家系的基因诊断及其动态突变

One subtype is the dynamic mutation , which has been implicated in 17 neurodegenerative genetic diseases .

根据产生机制和遗传特点的不同，可将其分为2类：一类是引起多种神经系统遗传病的动态突变；

Floating encoding and dynamic mutation are applied in this method .

此方法采用实数值编码，并采取动态变异操作。

This section focuses on the dynamic mutation process of the grassroots rectification movement .

着力探讨整风运动在基层的动态变异过程。

Dynamic mutation operator is proposed .

提出了动态变异算子。

Dynamic Mutation Genetic Algorithm

动态变异遗传算法

Dynamic Mutation Ratio and Multi-Population In Evolutionary Algorithms

动态变异率的多群体进化计算

Generating dynamic mutation probability with dynamic analysis of genetic fitness also can improve the ability to generate the global optimal solution .

通过动态分析基因适应度，生成动态变异概率，提高了最优解的生成概率。

An approach based on dynamic mutation genetic algorithm is proposed in this article to solve the multicast routing problems with delay constraint .

论文提出了一种基于动态变异遗传算法的组播路由算法，用来解决带时延约束的组播路由问题。

Meanwhile , we adopt some betterments , like as Truncation gambling wheel , Dynamic mutation probability , to avoid premature phenomena during the process too .

同时，在算法的具体实现过程中，采用了截断赌轮、动态变异概率等方法，有效避免了遗传算法中早熟现象的发生。

By analysis of genetic operators influence on the global convergence , a new method that adopt the conditional elitist strategy with the ergodic matching selection and dynamic mutation is presented , then several improved computing results are given using a standard testing function .

通过分析遗传算子对全局收敛性的影响，提出有条件的最佳保留和遍历匹配以及动态变异相结合的算法，并选择标准测试函数对其检测。

This principle and other related methods , including adjusting fitness , dynamic adjusting mutation probability and local optimization , were used to form a genetic algorithm based on better worse re selection .

并以此原则为基础，经过改进，加入调整适应度、动态调整变异概率和局部优化等方法，形成了优劣复取舍遗传算法。

Dynamic crossover and mutation operators which are based on Haiming Distance are brought forward in this paper to maintain generations diversity .

提出了基于海明距离的动态交叉、变异算子，使算法在优化过程中能有效地保持种群的多样性。

For fast convergence and good efficiency , the GA implementation incorporate dynamic crossover and mutation variation rates , the BP uses dynamic learning rate .

而在GA中引进了动态的交叉和变异率，在BP中引进动态的学习率，从而更有效地提高其收敛速度和执行效率。

In order to get better performance of Genetic Algorithm ( GA ) and maintain generation 's diversity , based on Haiming Distance , missed gene detection and reparation policy together with dynamic crossover and mutation operators were brought forward .

为改善遗传算法的优化性能，保持种群的多样性，提出了基因丢失检测及修复策略和基于海明距离的动态交叉、变异算子。

The splicing / decomposible encoding scheme proposed by Xu et al is applied to the construction of dynamic selection and mutation operators that were built respectively on the levels of genotype and phonotype of population . A completely new adaptive genetic algorithm is thus developed .

基于新的编码与判据，分别在种群层次与基因层次发展了动态变异与动态选择操作，进而提出了一类自适应遗传算法。

A new fuzzy dynamic assessment based on mutation theory is proposed .

笔者提出了基于突变理论的模糊动态评价方法。

This algorithm adopt improved NSGA-II non-dominated sorting strategy , and use dynamic weighting method to choose the optimal particle population , to increase the diversity ; dynamic inertia weight and mutation strategy are used to overcome the local optimum and improve the global searching capability .

算法中采用了改进的NSGA-II的非支配排序策略，动态加权法选择种群最优粒子，提高多样性；采用动态惯性权重和变异策略，克服局部最优，提高全局寻优能力。