遗传算法是一种新型的随机搜索寻优方法。
Genetic algorithms is an effective method for random search of optimum.
介绍了三个变量的寻优方法并给出了寻优的程序框图。
The optimization of the three variables and its program block-diagram are also presented.
与传统的寻优方法相比明显地改善了控制系统的动态性能。
The method improved the dynamic property of control system than traditional optimizing method.
并根据主轴的实际情况，选择合适的寻优方法，进而确定最优解。
According to the conditions of main shaft, choosing appropriate method to decide the best solution.
提出一种基于斐波那契数列的寻优方法来提高交流电机驱动系统的效率。
This paper presents a new approach, Fibonacci sequence based on-line efficiency optimization control, for improving the efficiency of induction motor drive systems.
提出了一种基于航空发动机约束物理意义的寻优方法，并将其应用于性能寻优控制之中。
Presented a new method based on the physical characteristic of aero-engine constraint for performance seeking control, which consists of active set method and generalized reduced gradient method.
本文讨论有源滤波器滤波函数的逼近问题，提出了一种寻优方法，计算切比雪夫型滤波函数。
This paper describes the approximation of active filters. An optimum seeking method is used to calculate the filter functions which have the form of Chebyshev approximation functions.
采用数字寻优方法确定观测器校正矩阵参数，从而实现了活性污泥过程重要状态变量的精确在线估计。
Therefore, the accurate estimation of important state variables has been implement on-line for the activated sludge processes.
该文应用自适应神经网络模糊推理系统的方法对一个典型系统进行建模仿真，并阐述这三个参数的寻优方法。
This paper gives the simulation example for modeling a typical system with Adaptive Neural-Fuzzy Inference system and expatiates the method for choosing these three parameters.
水文地质参数寻优结果的好坏会直接影响到地下水数值模拟的精度，而参数寻优结果很大程度上取决于寻优方法的选择。
The performance of groundwater modeling relies largely on the accurate estimation of hydrogeological parameters, which are often influenced by the choice of optimization methods used.
传统风煤比寻优通常采用求解燃烧函数解析式，再求极值得出最佳风煤比，这一方法可靠性差而且工作量大。
In traditional ways, the optimal air coal ratio is obtained by solving combustion function and finding out the extremum, which is time consuming and unreliable.
传统的最优化技术大多是基于梯度寻优技术或随机搜索的方法。
Traditional optimization techniques search for the best solutions using gradients or random searching.
本论文在PID控制理论及现有PID控制参数整定方法的基础上，设计使用随机数直接搜索法进行PID控制参数的寻优整定。
Based on the PID control theory and recent PID parameter tuning method, a tuning method using direct search optimization (LJ method) is designed.
仿真结果表明，该方法有效地消除了参数整定对参数初值的依赖性，使得寻优效率大大提高，同时具有很强的鲁棒性。
The emulation shows that the method doesn't depend on the initial parameter value of the system and the searching efficiency can be ameliorated and has strong robustness.
因此，直接寻优法是三种方法中效果最好的。
So, the direct optimal method is the best one among the three methods.
应用多目标模糊决策的方法，建立寻优模型，进而选择在一定条件下合适的铲运机斗。
Multiobjective fuzzy decision-making method was used to establish the optimizing model, which was then used to select a suitable shovel size for.
提出一种实用的通过主轴转速寻优调整对再生型切削颤振进行自动控制的方法。
An applicable method to control regenerative cutting chatter automatically based on the optimal regulation of spindle speed is introduced.
还指出了现有求取刀轴倾角方法存在的问题，提出了一种“逐步寻优”求取刀轴倾角的新算法。
By analyzing the problems in the existing method of obtaining inclination Angle, an new algorithm (step by step optimization) is presented.
通过与并行寻优、线性组合方法的比较，得出了分级优化法具有灵活性及收敛性好等特点的结论。
The conclusion is that, compared with the parallel-searching and the linear combination methods, the sectional optimization method is more flexible and better in convergence.
传统的研究方法是在满足滤波器组完全重构的情况下通过寻优的方法得到滤波器的冲击响应，所得到的滤波器性能较差。
The traditional method is that the impulse response of filter can be gotten by optimization under the perfect reconstruction condition. The performance of filters is not very good.
通过本文提出的配置原则提高了启发式方法的初始方案质量，通过改进配置模型缩少了模拟退火方法的寻优范围，从而提高了求解速度。
Initial placement result from heuristic method is improved by the proposed placement principles, the search scope of SA method is reduced by new placement model, and the calculation speed is improved.
本文提出了一种对具有不等式约束的非线性函数进行寻优的直接方法。
This paper introduces a method of direct searching optimal value for nonlinear functions with inequality constraints.
为了保证搜索到更优解，提出了一种新的演化策略改进方法，以提高其全局寻优能力，并将其应用到分割算法中。
To make sure that the algorithm can reach the global optimized resolution, a novel method is proposed to improve the globally researching capability of canonical evolution strategy.
传统的优化方法充分利用了目标问题的信息，局部寻优能力较强，收敛速度较快，但又会陷入局部最优的陷阱。
Traditional optimization methods use much more information of the target problem, so their convergence speed is much better, and the ability of finding local optimal is better.
传统的优化方法充分利用了目标问题的信息，局部寻优能力较强，收敛速度较快，但又会陷入局部最优的陷阱。
Traditional optimization methods use much more information of the target problem, so their convergence speed is much better, and the ability of finding local optimal is better.
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