honeycomb_standard

常规波束形成与最小方差无畸变算法性能对比（CBF、MVDR）(Performance comparison between conventional beamforming and minimum variance distortionless algorithm CBF MVDR)

说明：  通过EDEM体积力耦合API源程序，实现流体曳力耦合(Through the edem volume force coupling API source code, the fluid drag coupling is realized)

根据给定的实验系统的参数，对采用诱骗态方案的BB84系统进行仿真，得到在不同光纤传输距离下，系统安全密钥生成率R(According to the parameters of the experimental system, the BB84 system with decoy scheme is simulated, and the system security key generation rate R is obtained under different fiber transmission distance)

蓄电池双向Boost/Buck充放电控制，与电网结合。(Battery bi-directional Boost/Buck charge and discharge control, combined with the grid.)

光伏仿真模型和boost-buck模型，适合做微网或者交直流微网的学者研究(Photovoltaic simulation models and boost-buck models are suitable for microgrid or AC-DC microgrid researchers.)

用于温度场film边界条件，算例算例算例(This text is used for temperature field in ABAQUS user-defined subroutine which is called film.)

说明：  蚁群算法用来函数寻优，本代码给出了通用版本，能够很好的适应和学习(Ant colony algorithm is used to function optimization, this code gives a general version, can adapt and learn well)

用牛顿-拉夫逊法进行电力系统潮流分布计算(Calculation of Power Flow Distribution in Power System by Newton-Raphson Method)

大坝变形的精确预测对其安全评价方面发挥着重要作用。为了进一步提高大坝变形预测精度，提出了一种改进的灰狼算法优化支持向量机的预测模型。通过引入非线性收敛因子和采用动态加权策略，提升灰狼算法优化支持向量机惩罚因子和核函数参数的能力，并以优化的参数来建立支持向量机大坝变形预测模型。选取实例数据，在与布谷鸟算法、差分进化算法、粒子群算法、基本灰狼算法优化的支持向量机预测比较中，实验结果表明，改进的灰狼算法对支持向量机参数的优化是有效的，可以提高大坝变形预测精度。(Accurate prediction of dam deformation plays an important role in its safety evaluation. In order to further improve the prediction accuracy of dam deformation, an improved grey Wolf algorithm is proposed to optimize the prediction model of support vector machine. By introducing the nonlinear convergence factor and using the dynamic weighting strategy, the gray wolf algorithm is improved to optimize the capacity of the support vector machine penalty factor and the kernel parameter, and the support vector machine dam deformation prediction model is established with the optimized parameters. The experimental results show that the Improved Grey Wolf algorithm is effective for the optimization of support vector machine parameters, and it can improve the accuracy of the deformation prediction of the dam.)

说明：  六边形蜂窝自动建模插件，能在abaqus中自动建立蜂窝模型(Hexagonal honeycomb automatic modeling plug-in)