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pwmchaser107
- code foa 16F628A led creating
FOA
- 这是基本的果蝇优化算法，简单高效，非常适合初学者使用。-This optimization algorithm is a basic flies, simple and efficient, very suitable for beginners to use.
FOAGRNN
- 果蝇优化算法优化灰色神经网络。对不起各位，打包的时候忘记把数据打包进去了。这数据是个25*3的矩阵。前两列数据为{0,1}之间，同一排，若前两个数有一位小于0.5，则第三位为1.否则为0.如此组合25组数据。-FOA gray neural network optimization.
FOA
- 果蝇算法优化求极值,已调试可以运行,希望对学习有帮助-Drosophila algorithm optimization for extreme, debugging can run, we hope to learn helpful
LGMS_FOA
- 一种改进的果蝇算法，文件中包含matlab实现代码和算法说明-an improved FOA, in the file, the demo develped by MATLAB and the produre of lgms-foa is obtained
foa-pid
- 果蝇优化算法在pid寻优中的应用，这个方法很好-Drosophila optimization algorithm optimization of pid, this method is very good
FOA
- 果蝇优化算法是一种具有极强寻优能力的智能算法，自提出来就被广泛采用。-Drosophila Optimization
FOA
- 详细介绍了果蝇优化算法及其代码，有助于理解和改进优化程序。-There are Fruit flies optimization algorithm and its code, which help us to understand and improve the optimization program.
SphereLFOA
- 具有Levy飞行特征的foa算法,对果蝇优化算法的改进-Levy flight characteristics of foa algorithm
FOA
- 给出了一种新的优化方法，果蝇优化方法。对于搞优化的人是很有帮助的-We present a new optimization method optimization method in Drosophila. For people who are engaged in optimizing helpful
FOA
- 上传一份求极大值的MATLAB代码，希望有人能够用到-Upload a algorithm for maximum flies with MATLAB.
FOASVR_Training
- 果蝇优化算法，主要用于对支持向量机等算法参数的优化-FOA FOASVR_Training
pso
- 资料包括PSO，PSO-PID,PSO-AM,PSO-BP,FOA.通过粒子群能够很好的解决优化问题，对于学习PSO的初学者有很大的帮助，另外提供一个果蝇算法，望比对学习。-Data including PSO and PSO- PID, PSO- AM, PSO and BP, FOA.
Foa_max
- 果蝇优化算法代码，求解最大值极值，调试可用，适合初学者-FOA Code, solving the maximum extremum, debugging is available, suitable for beginners
foa-esn
- 回声状态网络的参数设定是随机的，所以可以通过搜索算法来搜索最优参数，这是利用果蝇算法对参数进行寻优，结果良好-The parameter setting of the echo state network is random, so the optimal parameters can be searched by the search algorithm, which is to optimize the parameters by using the fruit fly algorithm.
FOA
- 果蝇算法,新型的智能优化算法，一个台湾学者提出的(Fruit flies algorithm, the new type of intelligent optimization algorithm, a Taiwan scholar put forward)
chenggui
- 本文在建立的城轨列车动力学模型和提出的ＣＩＰ－ＦＯＡ的基础上，开发了“城 轨列车动力学模型仿真软件”，该软件用于参数拟合计算和模型的仿真验证工作。 基于“城轨列车动力学模型仿真软件”，对不同控制策略的列车运行数据进行仿真 计算，通过仿真结果的对比和分析，验证了本模型符合列车的实际运行过程，良 好的实验结果体现了本研究在工程规划设计和列车动力学模型性能预测方面的作 用。(Based on the dynamic model of the urban rail train and the