遗传的

The key to feature extraction is to select the optimal feature combination from all the features. In this study, the optimal color feature combination,{/G,(R+4G+B)/6, H variance, S variance}, is selected using genetic neural network at first. Then the main texture features including the mean, variance, energy and entropy of the cooccurrence matrix, the secondary texture features including the maximum frequency number, absolute uniform, inertia and importance of the co-occurrence matrix are extracted.

在此基础上，提出适合多阈值和小目标图像分割的免疫遗传图像分割方法，该方法借鉴了生物免疫系统自调节、抗原识别和记忆功能，并结合了遗传算法对图像进行自适应区域的阈值分割，改善了遗传算法优化复杂问题时存在收敛速度慢和易陷于局部最优的不足，克服了传统阈值分割方法对目标大小的限制，是一种新型的有效的图像分割方法。

It indicated that a considerable degree of genetic differertiation has taken place in the A and B genomes of two species during evolution from wild emmer to common wheat.2 The similarities co-efficiency of A genome of common wheat and wild emmer was slightly higher than that of B genome.

野生二粒小麦与普通小麦A染色体组的遗传相似性高于两物种B染色体组的遗传相似性，从而说明小麦的不同染色体组在进化过程中的遗传速率或者说进化中的稳定程度是不同的。

The paper proves that the search process of the non-crossover genetic algorithm is an ergodic homogeneous Markov Chain. The proof of global convergence of NCGA is presented is this paper. The upper bound of convergence speed of the NCGA is the same as the CGA. The possibly of retain the promising genes of NCGA is larger than CGA.

对于本人可以找到的32种典型的非线性优化测试函数，应用无交叉算子遗传算法，与基于经典遗传算法相比，在相同的进化代数的条件下，NCGA同样取得了略优的收敛速度，在相同CPU计算时间上NCGA也取得略优的结果； 3 提出了复合算子遗传算法。

Analysis on the Astringency of a Hybrid-Domain Basis Function Based on Exponential Series Function;2. Research the Corn Production Efficiency of China Based on Malmquist Model and Astringency;3. The background of application of genetic algorithm to reservoir optimal operation and its astringency are introduced.

介绍了遗传算法在水库优化调度中的应用背景及算法的收敛性，讨论了水库优化调度中遗传算法的基本应用步骤以及存在的问题，给出了算法的各种改进方法，并对遗传算法的应用前景进行了展望。

Available data on helminth genetic variability have shown that most helminth populations exhibit different levels of genetic variation resulting mainly from the pattern of life cycle,geographical distribution and parasite-host interaction,and several hypotheses have been proposed to explain the genetic variation.

应用这些遗传标记的研究表明，大多数寄生蠕虫群体遗传结构有不同水平的变异，这些变异的产生主要与寄生虫的生活史和群体生态、宿主的地理分布和环境等因素有关，并因此提出了有关遗传变异的一些假说。

In this dissertation, the genetic algorithm is discussed in detail. In order to improve the convergence of GA, considering that it is important to choose the probability of crossover and mutation , new p〓 and p〓 were varied depending on the fitness values.

该方法在遗传模式得到保证的基础上，加快新个体的产生速度，所构造的交叉算子和变异算子随适应值自动变化，对远离最优值的个体采用较大遗传算子值，对接近最优值的个体采用较小遗传算子值，提高得至撮优解的概率。

The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model the constrained problem、the initial population and the controls parameter of genetic algorithm .

在广泛阅读文献和调研的基础上，本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合，对结构优化设计的基本概念、主要特点进行了介绍，对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

Based on a great many literature, this paper analyzes and summarizes the genetic algorithm for the design of structural optimization. The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model、the constrained problem、the initial population and the controls parameter of genetic algorithm Aimed at the characteristic of structural optimization and finite-element analysis, this paper accomplishes the optimal program based on the simple genetic algorithm.

在广泛阅读文献和调研的基础上，本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合，对结构优化设计的基本概念、主要特点进行了介绍，对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

Based on a great many literature, this paper analyzes and summarizes the genetic algorithm for the design of structural optimization. The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model、the constrained problem、the initial population and the controls parameter of genetic algorithmAimed at the characteristic of structural optimization and finite-element analysis, this paper accomplishes the optimal program based on the simple genetic algorithm.

在广泛阅读文献和调研的基础上，本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合，对结构优化设计的基本概念、主要特点进行了介绍，对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

For a given routing plane, grid of the routing plane is performed for two-terminal net routing method based on a genetic algorithm according to the obstacle conditions, and then the grid is numbered .

对于给定的布线平面，基于遗传算法的两端线网布线方法首先根据障碍情况对布线平面进行网格化，然后对网格进行编号，用一系列网格序号的有序排列来表示两端点的布线路径，以多条布线路径组成的群体作为优化搜索基础，最后采用遗传算法对此群体进行遗传操作，得到两端线网的最短路径。

This one mode pays close attention to network credence foundation of the businessman very much.

这一模式非常关注商人的网络信用基础。

Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.

扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。