采用模拟退火算法完成了控制器参数的优化设计。
And a simulated annealing algorithm is applied to solve this controller parameters optimization design problem.
该系统的控制器采用模糊神经网络控制器，它的控制器参数采用模拟退火算法全局优化来对BP算法进行改进的混合方法。
The parameters of the fuzzy neural network controller are optimized by the mixed learning methods with BP algorithm and Simulated Annealing algorithm which improves BP algorithm.
首先，采用改进的模拟退火算法设计语音编码参数矢量量化码本。
First, the algorithm is used to design the codebook of the speech coding parameters.
采用并行环境下的模拟退火算法和复形法对拱坝进行体形优化设计。
The system uses the simulated annealing algorithm and the polygon algorithm in parallel condition to optimization design for arch dam.
采用一类全局收敛的连续模拟退火算法完成了控制器参数的优化设计。
A continuous simulated annealing algorithm with global convergence ability is applied to solve this controller parameters optimization design problem.
正交偶极子各向异性反演中一般采用快速模拟退火算法(VFSA)。
Very fast simulated annealing method (VFSA) is used in cross dipole anisotropy inversion commonly. A modified VFSA was provided.
采用快速模拟退火算法来计算分形插值函数的关键参数——纵向比例因子，进一步加快了数据压缩的速度。
Fast simulated annealing is used in calculating the key parameter of fractal interpolation function - vertical scaling factor, thus makes further improvement of data compression speed.
为了衡量模拟退火算法解决静态rwa问题的结果，采用了一种启发性算法作为参考。
To compare the results of simulated anneal algorithm on the static RWA problem, a heuristic algorithm is introduced as reference.
为此，建立了优化消毒数学模型，并采用遗传—模拟退火混合算法对其进行求解。
Therefore, the mathematic model for optimization disinfection was set up, and the hybrid genetic-simulated annealing algorithm was used for solution.
采用模拟退火控制算法，进行了实验验证。
The endless reset of simulated annealing algorithm based polarization controller is analyzed.
利用迭代自组织聚类法对AOI系统的检测视场进行了规划，采用基于分区搜索改进的模拟退火算法对检测路径进行了优化。
And then SAA based on regional research is adopted to optimize the inspection path of AOI. At last, a fast inspection algorithm is proposed to improve the efficiency of AOI.
以每个时间阶段各个客户的订购量为研究对象，采用混合模拟退火算法求解该问题。
The focus is on the ordered quantity of each customer in each phase and hybrid annealing algorithm is developed accordingly.
本文利用模拟退火算法求解上层模型，采用修正的投影算法求解下层模型。
Simulated annealing algorithm is used to solve the upper model and modified projection algorithm is used to solve the underlying model in this paper.
本文利用模拟退火算法求解上层模型，采用修正的投影算法求解下层模型。
Simulated annealing algorithm is used to solve the upper model and modified projection algorithm is used to solve the underlying model in this paper.
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