搜索资源列表
稀疏阵列的遗传算法优化
- 阵列信号处理，采用遗传算法对阵列进行稀疏化处理，对于研究阵列天线的学者有帮助(Array signal processing and sparse processing with genetic algorithm are helpful to scholars who study array antenna.)
遗传优化向量机
- 通过优化的遗传算法来优化支持向量机的参数，很好用。(The parameters of support vector machine are optimized by optimized genetic algorithm, which is very useful.)
MATLAB智能算法30个案例分析代码
- 压缩包内是关于BeiHang出版的matlab智能算法30个案例的代码，对于学习理解智能算法的原理和编程有一定的帮助。如遗传算法、粒子群算法、免疫优化算法、模拟退火算法、BP算法等。(there are 30 matlab codes, which match a book about intelligence algorithms,such as genetic algorithms, PSO, ACO,BPO,etc. WISH that will be help for you.)
GA-ELM
- 遗传算法优化的极限学习机模型 采用水仙花基本特征数据集 效果比单纯的ELM模型要好(The effect of using daffodils basic feature data set in the extreme learning machine model optimized by genetic algorithm is better than that of ELM model only.)
buchong1
- 永磁同步电机基于响应面法和遗传算法优化设计源代码程序(Response Surface Method and Genetic Algorithms for Optimizing Source Code Program of Permanent Magnet Synchronous Motor)
GA_RBF_SVM
- 粒子群优化SVM参数 遗传算法优化SVM参数(Particle Swarm Optimization of SVM Parameters)
自适应遗传算法
- 是一种求解优化模型的好算法，收敛快，搜索快，并且精度高，且以学习
量子遗传算法
- 用于优化二维结构模型阻尼器参数，减小结构动力响应
遗传算法
- MATLAB仿真源代码，遗传算法优化。有仿真图。性能良好。(Matlab simulation source code,)
第14章 遗传优化算法
- 遗传算法波束形成，有效地在一定的迭代次数下降低旁瓣电平，非常好用(Genetic algorithm beamforming, effectively reducing the sidelobe level under a certain number of iterations, very easy to use)
用遗传算法求解多目标函数优化
- 多目标函数，在多个约束条件的情况下用遗传算法找出最优解(Multi-objective function, using genetic algorithms to find the optimal solution under multiple constraints)
GA_SVM
- 利用GA遗传算法优化参数 并利用支持向量机分类或者回归计算(Use GA genetic algorithm to optimize parameters and use support vector machine for classification or regression calculation)
code
- 用遗传算法优化阵列，完成字典优化（减小列间相关度），实现更准确的DOA估计(With GA alg. this simulation file complete dictionary refine then getting better DOA estimate.)
GA-ELM_2 v2.0
- matab遗传算法工具箱以及极限学习机+遗传算法优化压缩包(Genetic Algorithm toolbox for matlab 2020b and Limit learning machine + genetic algorithm optimization package)
算法优化
- 针对减速器的设计，利用多种启发式的优化算法进行设计，不同于常规的工程最优化方法。(For the design of the reducer, a variety of heuristic optimization algorithms are used for design, which is different from conventional engineering optimization methods.)
NSGA-II多目标优化算法matlab程序
- 遗传算法程序NSGA2，关于移动机器人路径规划。(Matlab program of path planning based on NSGA2 genetic algorithm)
遗传算法求解VRP问题.gz
- 为了达到提升公路运输的效益，降低货运成本的目的，我们提出带时间窗的基于货物运输共享的路径优化模型(In order to improve the efficiency of highway transportation and reduce the freight cost, we propose a path optimization model based on cargo transportation sharing with time window)
遗传算法优化bp神经网络
- 用遗传算法来优化bp神经网络 !
GA-PSO
- PSO算法计算函数极值时，常常出现早熟现象，导致求解函数极值存在较大的偏差，然而遗传算法对于函数寻优采用选择、交叉和变异算子操作，直接以目标函数作为搜索信息，以一种概率的方式来进行，因此增强了粒子群优化算法的全局寻优能力，加快了算法的进化速度，提高了收敛精度。(When PSO algorithm calculates function extremum, it often appears premature phenomenon, which leads to large deviation
GABP
- 使用遗传算法优化BP神经网络的权值和阈值。BP神经网络是一种按照误差逆向传播算法训练的多层前馈神经网络，是应用最广泛的神经网络。(Genetic algorithm is used to optimize the weights and thresholds of BP neural network. BP neural network is a kind of multilayer feedforward neural network trained according to the erro