混合遗传

In summery, this study has proved that biotype in BPH is a very complex phenomenon, and the quantitative resistance does really exist in rice varieties.

各类生物型都不是遗传上同质的单一群体，而是具有某种特异遗传构成和特异平均致害表型的混合群体。

This algorithm mainly includes two stages: First a group of solutions were obtained which approximate the global optimum through cursorily adjusting the genetic algorithm.

针对遗传算法与神经网络结合方式中存在的早熟收敛、泛化能力弱等问题，提出一种交替使用遗传算法和玩Levenberg-Marquardt算法优化神经网络的混合学习算法。

A novel hybrid algorithm, which combines predictor-corrector primal-dual interior point method and genetic algorithm, is presented for dynamic and static reactive optimization in this dissertation. The algorithm fully make use of the advantage of interior point method in solving successive optimization problem and the advantage of genetic algorithm in solving discrete optimization problem. The original problem is divided into three parts: total successive problem, discrete problem and successive problem.

结合内点法和遗传算法，本文提出了一种新颖的混合算法用于求解动、静态无功优化问题，算法充分利用了内点法易于求解连续优化问题和遗传算法易于求解离散优化问题的优势，将原优化问题分解为初步的连续优化问题、离散变量优化问题、连续变量优化问题这三个子问题分别求解。

This paper discusses the nonlinear inversion algorithms instructively andmainlystudytwokinds ofnonlinearinversionalgorithms: SimulatedAnnealingConjugate Grads and Artificial Neural Network Genetic Algorithms, these two methods can decrease the iteration times and avoiddroppinginto the local extremum, we do the model calculation and confirm thevalidityofthealgorithm.

对非线性反演算法进行了有益的探讨，主要研究了两种非线性混合优化反演算法：模拟退火共轭梯度混合反演和神经网络遗传反演算法，两种混合算法都达到了减少迭代次数、避免陷入局部极值的目的，并进行了模型试算，验证了算法的有效性。

To overcome the difficulties and drawbacks in modeling the dynamic systems by using traditional methods, a hybrid evolutionary modeling algorithm is proposed to model the dynamic system with a system of ordinary differential equations whose main idea is to embed genetic algorithm in genetic programming where GP is employed to optimize the structure of a model, and GA is employed to optimize the parameters of a model.

针对采用传统方法解决动态系统的微分方程建模问题所遇到的困难和存在的不足，文中设计了将遗传程序设计与遗传算法相嵌套的混合演化建模算法，以遗传程序设计优化模型结构，以遗传算法优化模型参数，成功地实现了动态系统的常微分方程组建模过程自动化。

The character of this new method is that the mechanism of the GA is not changed but the search space and the coefficient of the adjustment of th e optimization parameter are reduced continually, which leads to generation evolution to the next generation in order to produce better optimization indivi duals so as to improve the performance of the GA and get over the disadvantage o f the GA.

提出一种新的混合算法--变尺度混沌遗传算法，该算法把遗传算法和混沌算法混合在一起，在不改变GA搜索机制的同时，根据搜索进程，不断缩小优化变量的搜索空间及调节系数，引导种群进行新一轮进化，从而产生更优的最优个体，改善了GA的性能，有效地克服了GA存在的问题。

The immune regulation, clone selection, immune memory were brought into standard genetic algorithm to design genetic immune algorithm for solving mixed transportation network design in view of the limitations of standard genetic algorithm and based on immunity theory.

鉴于标准遗传算法的局限性，基于人工免疫思想，将免疫系统仿生机理中的免疫调节、克隆选择、免疫记忆引入到遗传算法中，给出了求解混合交通网络设计的遗传免疫算法。

By use of 90 individuals DNA from Gold Queen maize population, 6 inbred lines DNA, and 15 pair SSR primers, the effect of 4 kinds of DNA sample treatments of the individual DNA sample, the mixed DNA sample with 3 individuals, with 10 individuals, and with 15 individuals for the genetic diversity in the same population were compared and analyzed.

以金皇后玉米群体90个单株DNA和6个自交系DNA为供试材料，利用15对SSR引物，比较了同一群体 4种DNA样品处理(单株DNA样品、3个单株混合DNA样品、10个单株混合DNA样品、15个单株混合DNA样品)的SSR遗传多态性。

In this experiment, firstly, the use of 90 individuals DNA from Gold Queen maize population, 6 inbred lines DNA representing Chinese different types of resources, and 15 pairs of SSR primers, the effect of 4 kinds of DNA sample treats of the individual DNA sample, the mixed DNA sample with 3 individuals, with 10 individuals, and with 15 individuals for the genetic diversity in the same population were compared and analyzed.

本研究首先以金皇后玉米群体90个单株DNA和Mo17、B73、丹340、黄早4、掖478、许178等6个具有代表性的自交系为供试材料，利用15对SSR引物，比较了同一群体4种DNA样品处理（单株DNA样品、3个单株混合DNA样品、10个单株混合DNA样品、15个单株混合DNA样品）的SSR遗传多态性。

For a variety of hybrid flexible flowshop process route of the problem of production scheduling, analysis of production process planning and shop scheduling system integration principle, set up the target model, by a simple genetic algorithm to improve, in the integrated model set up based on the algorithm research, put the post-evolutionary genetic algorithm and improved simulated annealing algorithm an organic combination of algorithm optimization mechanism to enable the integration and optimization of the structure complement each other to form a more efficient hybrid optimization algorithm, and to solve the problem.

针对混合柔性流水车间多种工艺路线的生产调度问题，分析了生产工艺计划与车间调度系统的集成原理，建立目标模型，通过将简单遗传算法加以改进，在建立集成模型的基础上，对算法进行研究，把进化后的遗传算法和改进的模拟退火算法有机结合，使算法优化机制融合和优化结构互补，形成较为高效的混合优化算法，并对问题进行求解。

They weren't aggressive, but I yelled and threw a rock in their direction to get them off the trail and away from me, just in case.

他们没有侵略性，但我大喊，并在他们的方向扔石头让他们过的线索，远离我，以防万一。

In slot 2 in your bag put wrapping paper, quantity does not matter in this case.

在你的书包里槽2把包装纸、数量无关紧要。