The global optimal flight path could be obtained by using genetic algorithms.
最后利用遗传算法获得威胁网络下的全局最优解。
For these paths using genetic algorithms to optimize finally be a better programme.
对于这些路径采用遗传算法进行优化最终得到较优方案。
Then, pattern synthesis for sparse array antenna using genetic algorithms is researched.
分析讨论了遗传算法在综合稀疏相控阵方向图综合中的应用。
In this paper, a fast soft decision decoding using genetic algorithms (GSD) is presented.
本文采用遗传算法实现快速软判决译码(GSD)。
We also propose novel ideas in optimizing the fuzzy control rules, using genetic algorithms.
在此基础上提出了采用遗传算法对压实参数模糊控制规则进行优化的新思路。
This paper focuses on automatic test data generation for path testing using genetic algorithms.
本文主要研究的是路径测试数据的自动生成方法。
Goal of the project is to see will both sides learn some new behavior over time using genetic algorithms.
项目的目标见将双方学习一些新的行为随着时间的推移使用遗传算法。
Using genetic algorithms to solve the problem in methods, and a series of improvements have been put forward.
在求解方法上采用遗传算法，并作了一系列的改进策略。
There are some limitations that using genetic algorithms. This paper presents the Mixed Genetic Algorithm(MGA).
针对遗传算法局部搜索能力弱的缺陷，提出了一种改进的混合遗传算法。
Using Genetic Algorithms (GA) to train Neural Network (NN), the weight and structure of NN is optimized at the same time.
对神经网络采用改进的基因遗传算法进行训练，可以实现神经网络权值和结构的同时优化。
Using genetic algorithms in the issue of tracks arrangement has advantages of versatile application and computation stability.
采用遗传算法求解整备区股道安排问题，具有适用广泛和计算稳定等特性。
Be sure to examine MyBeasties (see the Resources section) if you are interested in using genetic algorithms in your own applications.
如果您有兴趣在自己的应用程序中使用遗传算法，一定要研究MyBeasties(请参阅参考资料一节)。
An approach to addressing the stereo correspondence problem is presented using genetic algorithms (GAs) to obtain a dense disparity map.
提出了一种利用遗传算法解决立体匹配问题的方法以获得稠密的视差图。
Then optimization model with the membership degree is constructed. It is solved by using genetic algorithms with dynamical castigatory function.
然后结合隶属度变量构建优化模型，利用具有动态惩罚函数的遗传算法求解，计算得到各方案的所属类别。
In this paper, a new method is proposed to identifying the dynamic mathematical model parameters of an accelerometer using genetic algorithms (GA).
本文提出了一种用遗传算法(GA)辨识加速度传感器动态效学模型参数的新方法。
The method of judging by feasibility about assembly direction with clashes matrix and assembly sequence planning using genetic algorithms was explained.
阐述了利用干涉矩阵进行装配方向可行性判断和应用遗传算法进行装配序列规划的方法。
By using genetic algorithms and using Chengdu station as an example, we obtain the results that demonstrate that it is better than personnel assignment.
以成都车站为例，利用遗传算法对到发线安排进行优化，其结果表明优于人工安排。
A new registration method based on mutual information has been proposed for retinal fundus images, using genetic algorithms to solve transformation parameters.
提出一种基于互信息的视网膜眼底图像配准方法，并采用遗传算法求解待配准图像的变换参数。
The paper demonstrated the method for solving the parameters of the linear diffusive wave equation under free downstream condition by using genetic algorithms.
以线性扩散波方程在自由下边界条件下的解析解为例，利用遗传算法来确定扩散波方程的参数。
Acordingly, it proposed that optimize the structure of neural network using genetic algorithms, so as to enhance the overall performance of disease diagnostic model.
然后文章提出用遗传算法来优化神经网络结构，从而从整体上提升疾病诊断模型的性能。
Meanwhile, study on technical route of optimizing process parameters and process route using genetic algorithms. Determine each objective function and its physical meaning.
同时，规划采用遗传算法进行工艺路线和工艺参数优化的技术路线，确定各自目标函数及其物理意义。
The worms' behavior item collection is described accurately by defining behavior vector structure, and the unknown worm behavior profile mining is optimized using genetic algorithms.
通过自定义行为向量构造准确描述网络蠕虫行为的项目集，并利用遗传算法优化未知蠕虫行为模式挖掘结果。
Numerical results show that present fitness function is better than that constructed by linear weighted combination and that 3d optimization using genetic algorithms has to be paralleled.
算例表明：使用的适应函数优于传统线性组合法构成的，遗传算法计算三维优化问题时必须并行化。
The productive method on the initial population is studied by using genetic algorithms to solve the constrained optimization problems. The study gives the new method of initial population evolution.
针对用遗传算法求解约束优化问题时，初始种群产生的方法进行了研究，提出了初始种群产生的一种新方法。
In order to solve this problem, a new method is provided based on the Hybrid Genetic Algorithms, and using a emulation program design a common binary optics elements-Dammann Grating.
为了解抉这个问题，介绍了一种将遗传算法与模拟退火算法相结合的混合遗传算法，并具体地利用这一优化算法设计了一种常用的二元光学元件——达曼光栅。
In order to solve this problem, a new method is provided based on the Hybrid Genetic Algorithms, and using a emulation program design a common binary optics elements-Dammann Grating.
为了解抉这个问题，介绍了一种将遗传算法与模拟退火算法相结合的混合遗传算法，并具体地利用这一优化算法设计了一种常用的二元光学元件——达曼光栅。
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