The research on shaped beam of array antenna by genetic algorithms is presented.
文中介绍了遗传算法在综合低副瓣阵列中的应用；
How to get a good feeding for conformal array antenna by genetic algorithms is presented in the end.
载体对单元方向图的影响以及基于遗传算法的共形阵列方向图综合。
Optimal placement of actuators for structural vibration active control by genetic algorithms is discussed in this paper.
用改进遗传算法研究了主动控制机构在建筑结构上的优化布置问题。
In the experiments, we also analyze the advantages and disadvantages of real coding and binary coding used by Genetic Algorithms.
实验中同时对遗传算法中的二进制编码和实数编码两种编码方式的性能优缺点也进行了相应分析。
The result showed that the PID controller optimized by genetic algorithms had higher accuracy and stronger adaptability and it can get satisfying control effect.
仿真结果表明，经过遗传算法优化的PID控制器具有较高的精度和较强的适应性，能获得满意的控制效果。
Simulation also allows the evolution of robotics control systems, which depend on random permutations of the control system over many generations (as demonstrated by genetic algorithms).
仿真还可以允许对机器人控制系统进行革新，这依赖于很多代控制系统的随机排列（遗传算法可以证实这一点）。
Improved Genetic Algorithms can avoid the defect of reaching the part best value easily by the twice evolution.
改进后的遗传算法通过二次演化能够有效地避免算法中容易陷入局部最优值的缺陷。
By choosing appropriate operators and parameters, genetic algorithms (GA) can solve the traveling salesman problem (TSP) effectively.
通过选择合适的算子和参数，遗传算法(GA)可以有效求解旅行商问题(tsp)。
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。
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 borrowing the ideas of population from genetic algorithms, we introduce an adaptive random search in quasi_Monte Carlo method (AQMC) for global optimization.
借用遗传算法中种群的概念，介绍了一种解全局优化的拟蒙特卡罗自适应搜索算法。
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 method, which combined neural network and genetic algorithms, was employed to simulate the catalytic distillation process by black box model and optimize the operational parameters.
采用神经网络与遗传算法相结合的方法，用黑箱模型计算催化精馏过程，并进行了全局优化；
In addition, hypothesis-test based simulated annealing (SA) and genetic algorithms are proposed respectively by incorporating the statistical idea of hypothesis test into intelligent algorithms.
另一方面，通过将假设检验的统计思想融入智能优化算法，分别提出了基于假设检验的模拟退火和遗传算法。
The results of the present study have shown that the neural networks with fewer inputs selected by the genetic algorithms are capable of making an accurate diagnosis of the turbine online performance.
结果表明，由遗传算法选定的较少的参数作为诊断网络的输入即可判断透平性能状态的好坏。
Genetic algorithms (GA) are optimization and machine learning algorithms inspired by processes of natural evolution.
遗传算法是由受生物进化过程启发而形成的进行优化和机器学习的算法。
The experiment result shows that the structured elimination of man-made river network is carried out by the model which makes use of capability of genetic algorithms efficiently.
实验结果表明该模型很好地利用了遗传算法的高效性能，实现了人工水网的结构化选取。
In this paper, the way to communicate by Shared memory is concretely analyzed, and the parallel genetic algorithms based on the way of communication by Shared memory is provided.
文章具体分析了共享存储器的通信方法，提出了基于共享存储器通信方式的并行遗传算法。
By using the genetic algorithms with hierarchical chromosome structures, rule generation and para - (meter) tuning of the fuzzy controller can be achieved simultaneously.
采用具有层次结构染色体编码方式的遗传算法来设计模糊控制器，实现了语言控制规则的自动生成和隶属函数参数的自动整定。
Through a hybrid way to combine Genetic Algorithms (GA) with convention nonlinear optimization, a study of automated match typical curve of well test has been done by this paper.
采用遗传算法与常规非线性优化方法相结合的途径，进行试并典型曲线的自动拟合研究。
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。
As the genetic algorithms method can be used to search in various regions of a solution space, and to jump out of partial optimization by a greater probability to achieve an overall optimization.
由于遗传算法是在解空间的多个区域内进行搜索，能以较大的概率跳出局部最优，因此可找到整体最优解。
The fundamental of genetic algorithms is introduced. Excavation schedule of slope is determined by means of adaptive learning genetic algorithms.
介绍遗传算法的基本原理，并采用自适应学习遗传算法排定某露天边坡的开挖步序。
The fundamental of genetic algorithms is introduced. Excavation schedule of slope is determined by means of adaptive learning genetic algorithms.
介绍遗传算法的基本原理，并采用自适应学习遗传算法排定某露天边坡的开挖步序。
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