混合遗传

First, by utilizing classical Gauss motion equations, we derived the three separate control laws, which could maximize the time rate of change of a desired orbital element. Then, the separate control laws were blended based on the deficit between current and target value of orbital state. Finally, to obtain the optimal guidance law effectively and reliably, a hybrid method combining genetic algorithm with sequential quadratic programming was used to optimize the weight values.

首先利用传统Gauss型运动方程，推导出三个轨道根数增大最快的独立控制律；然后根据当前根数与目标值的偏差量对独立控制律进行加权组合；最后为高效可靠地获得最优制导律，采用一种遗传算法和逐次二次规划相结合的混合方法对权重进行了优化。

Based on artificial immunology and genetic algorithm, a hybrid algorithm to design the RBF network is proposed.

基于人工免疫机制和遗传算法，提出了一种训练径向基函数网络的混合算法。

An integer coded hybrid particle swarm optimization algorithm which incorporates the crossover and mutation operators of Genetic Algorithm with basic particle swarm optimization is proposed to solve the model, and a C ++ code is programmed.

同时提出基本粒子群优化算法与遗传算法交叉、变异算子相结合的整数编码的混合粒子群优化算法来求解该选址模型，并编制了相应的C++程序。

Based on improved genetic algorithm and primal-dual interior point algorithm, a hybrid reactive power optimization algorithm is proposed.

基于改进遗传算法和原对偶内点法提出一种求解无功优化问题的混合算法。

For this purpose, the compactly supported radial basis function and the moving least squares approximation based ones are integrated into the aforementioned two global optimizers. As a result, two novel hybrid algorithms are introduced.

其次，为解决电磁场逆问题分析、计算中由于随机类优化算法需进行数以千计次电磁场的数值分析，以致计算时间和计算量难以满足工程分析实际要求的难题，本文将表面响应模型法引入电磁场逆问题的求解，研究了基于紧支径向基函数和基于移动最小二乘法的两种表面响应模型，并将其分别与改进的遗传算法和粒子群算法相结合，提出两种不同的混合快速全局优化算法。

Using the mixture distribution model and the method of maximum likelihood, we developed the method for the genetic analysis of qualitative quantitative traits with use of DH and RIL data.

采用混合分布理论与极大似然法，拓展了适用于双单倍体群体和重组近交系群体的质量－数量性状的遗传分析方法。

Lastly, the thesis studies the application of genetic algorithm in the mixed sensitivity problem of H_∞ control.

本文最后研究了遗传算法在H_∞控制的混合灵敏度问题中的应用。

Then, the DRSA-MOGA is utilized to obtain the solution of the mixed sensitivity problem.

而后，进一步应用基于降维扫描的自适应多目标遗传算法来解决H_∞控制的混合灵敏度问题。

The principle and solution are describled in detail for the model with mixed strategy combined with Genetic algorithms and the heuristic rules.

针对并行任务执行的资源优化配置和调度，建立该问题的数学模型，详细阐述了遗传算法结合启发式调度规则的混合策略对该模型的求解原理和过程。

This paper mainly carries the analysis and researches on the genetic algorithm and its mixed strategy in the application of promotion combination"s optimizing, expecting to enhance this topic"s research to a quantification analysis level.

本文主要是对遗传算法及其混合策略在促销组合优化问题中的应用进行了分析和研究，以期将该课题的研究提高到量化分析的层次。

Plunder melds and run with this jewel!

掠夺melds和运行与此宝石！

My dream is to be a crazy growing tree and extend at the edge between the city and the forest.

此刻，也许正是在通往天国的路上，我体验着这白色的晕旋。