资源列表
HCOEA(MOPforCOP)
- 基于多目标优化和混合进化算法的约束问题优化，IEEE经典Paper的代码-Multiobjective optimization and hybrid evolutionary algorithm to solve constrained optimization problems(IEEE,tran evo com经典paper代码)
GA_RBF
- 利用遗传算法对RBF（径向基）神经网络的中心值和宽度进行优化。实现效果比较好，能够高精度的实现非线性逼近。-Using genetic algorithm to optimize the center value and width of RBF (radial basis) neural network. The realization effect is better, and the nonlinear approximation can be achieved with high acc
PD
- 采用独立PD算法对机器人手臂进行控制，达到控制效果，但不是很精确。-PD algorithm independent control of the robot arm, to control the effect, but not very accurate.
FA-BP
- 萤火虫算法适用于各个方面的极值寻优，优化模型参数，提升模型精度。-Firefly algorithm is suitable for the optimization extreme of the various aspects of optimizing the model parameters, improve the model accuracy.
PSO-BP
- 用粒子群优化法对BP神经网络的权值和阈值进行优化，提高神经网络运行精度。-Using particle swarm optimization method for weights and threshold of BP neural network optimization, improve precision of the neural network operation.
SOFCMAC
- 任意维输入，自定义输出维数的SOFCMAC（自组织模糊小脑神经网络），实际上是一种将Kohonen网络的思想用于模糊CMAC的方法。参考文献是自组织模糊CMAC神经网络及其非线性系统辨识_王源。-SOFCMAC (self organizing fuzzy cerebellar neural network) with arbitrary dimension input, which is actually a kind of method for fuzzy CMAC with Kohonen
BGSA
- 二进制万有引力搜索算法的源代码，希望对各位有帮助！-Binary gravitational search algorithm source code, I hope all of you help!
CLSCS-core
- 基于混沌单纯形法算子的布谷鸟搜索算法，算法引入混沌算子及单纯形法，提高了布谷鸟搜索算法的寻优能力。-an improved cuckoo search algorithm (CS) using chaotic local search and simplex method (CLSCS)
fenyou
- 现有8升、5升、3升的容器各一个，均无任何度量标记，其中8升的容器装满油，其他两个为空。要求用上述容器倒来倒去，分成两份4升的油。（内附实验报告）-Existing eight liters, 5 liters, each a 3-liter container, no any measure mark, eight liter container filled with oil, the other two are empty. Requirements for the container s
GeneralGreedy
- 社会网络分析中通用的贪心算法，包含IC模型，LT模型,WC模型，对比试验中经常用到以及后续改善比较常用的贪心算法框架。-Gm s greedy algorithm in the social network analysis, including IC model, LT model, WC model, is often used in the experiment and further improve the greedy algorithm framework which are fre
BPneutralNetwork
- bp神经网络分两类.首先在savedata.m里将两类数据分别标记为1和2，然后在nncw.m里将load数据训练，最后在test里load新数据测试。-bp neural network divided into two categories. First, there will be two types of data in savedata.m are labeled 1 and 2, and then load the data in nncw.m in the training, th
path
- 基于MATLAB的足球机器人路径规划的设计和研究-The design of soccer robot path planning based on MATLAB and research