本文研究遗传算法在制造企业设施规划与设计优化设计方面的应用。
This article study on the application of genetic algorithms to optimize design facilities layout planning.
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)。
Be sure to examine MyBeasties (see the Resources section) if you are interested in using genetic algorithms in your own applications.
针对该课题，本文对基于遗传算法的岩质边坡稳定性评价进行了探讨和研究。
As to this method, some researches about the slope stability evaluation by optimizing means were done by this thesis.
近年来的研究表明，遗传算法在电力系统故障测距领域有一定优势。
The recent study indicated that RGA has certain advantages in fault location of power systems.
搜索多极值点问题是遗传算法研究领域内的一个新的方向。
Searching multi maximum is a new field in the research on genetic algorithms.
本文结合恒力磨削的研究，基于遗传算法提出了一种可自动地确定测试信号频域特征参数频率计算范围的方法。
In study of constant force grinding, a calculation method, which could calculate frequency range of frequency feature parameter automatically, is presented based on generic algorithm in this paper.
探讨了遗传算法优化PID参数的基本方法，着重研究了改进遗传算法的PID控制优化。
Also this paper discusses the basic method of ant colony algorithm to optimize PID control parameter.
研究了通过遗传算法模型优化设计侦察卫星轨道高度、轨道倾角、右升交点角及平近点角等轨道参数的方法。
Through the GA model, the orbital elements of each satellite such as altitude, inclination, RAAN and mean anomaly are optimized.
针对人工神经网络的不足，本研究将遗传算法引入神经网络，实现两种算法的优势互补。
For solving the shortage of ANN, this paper introduces GA into it, USES the two operators alternately, thus accomplishes dominance complement of the two intellect optimization algorithms.
用随机过程论中的马尔克夫链理论研究了几种遗传算法的收敛性。
The convergences of several genetic algorithms are studied by using Markovian chain theory in stochastic processes.
提出了基于精英选择策略遗传算法的工艺优化技术，详细研究了遗传算法在工艺优化中的应用过程。
The optimization technology of process routes based on elitist selection Genetic Algorithms (GA) was put forward, and an application of optimization method in the process planning was studied.
提出了基于精英选择策略遗传算法的工艺优化技术，详细研究了遗传算法在工艺优化中的应用过程。
The optimization technology of process routes based on elitist selection Genetic Algorithms (GA) was put forward, and an application of optimization method in the process planning was studied.
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