搜索资源列表
Objfun1_function
- 一个基于差分进化算法的函数优化程序，调节其中的参数与原基本程序进行性能对比-A function optimization procedure based on differential evolution algorithm, adjusting the parameters of basic program performance compared with the original
BBO
- 近些年出现的生物地理进化算法，以及生物地理学算法与差分进化算法的结合，相应的代码-Biogeographic evolutionary algorithms emerged in recent years, and the combination of biogeography algorithm and differential evolution algorithm, the corresponding code
ypml101-evolutionary-clustering
- 进化算法自动聚类的matlab实现；通过差分进化算法实现对数据的聚类分析-Evolutionary Automatic Clustering in MATLAB
tside
- 使用java编写的差分进化算法，一共有三个程序，分别是三个例子-Use java prepared by the differential evolution algorithm, a total of three programs, namely three examples
Main_DE
- 差分进化算法用于求解非线性问题的优化方法，本代码用C++实现的差分进化算法.-Differential evolution algorithm for solving nonlinear optimization method, the code using C++ to achieve the differential evolution algorithm.
DE-apply-in-neural-network
- 该文件是差分进化算法在神经网络中的应用分析，算法使用不同的样本点经过多次实验证明该算法有效。-This file is in the Application of differential evolution algorithm neural network algorithm using different sample points after many experiments show that the algorithm is
diffEA
- matlab环境下编写的差分进化算法的m语言代码，方便好用-Matlab environment prepared by the differential evolution algorithm c language code, easy to use
DB_optmize
- 基本的差分进化算法程序代码，有相应的测试函数，调用时只需更改适应度函数即可运行-The basic differential evolution algorithm code, there is a corresponding test functions, just change the fitness function to run when you call
DE00
- 差分进化算法的标准源程序，很适合初学者来入门学习。-Differential evolutionary algorithm of standard source program, very suitable for beginners to start learning.
Differential-Evolution(DE)
- 这是针对解决优化控制问题的差分进化算法，希望对大家有点帮助。-Differential Evolution for Optimal Control Problems
Differential-Evolution
- 这是针对解决优化控制问题的差分进化算法，希望对你有点帮助。-Differential Evolution for Optimal Control Problems
DE
- 基于pareto进化的算法的遗传算法，差分进化算法源程序-pareto Differential Evolution Algorithm
6cd8e93f
- 基于MATLAB的差分进化算法优化神经网络的源程序-MATLAB based on the differential evolution algorithm for optimization of neural network source code
DE
- 差分进化算法是一种新兴的进化计算技术它是由Storn等人于1995年提出的，和其它演化算法一样，DE是一种模拟生物进化的随机模型，通过反复迭代，使得那些适应环境的个体被保存了下来。-Differential evolution algorithm is a new evolutionary computation technique which is proposed by Storn et al in 1995, like other
DE
- 差分进化算法，一个类似于遗传算法的进化算法，其中一些参数可以自己设定，目标函数也可以自己设定。-Differential evolution algorithm, a genetic algorithm similar to the evolutionary algorithm, some of the parameters can be set by themselves, the target function can also s
Differential-Evolution-master
- 差分进化算法的实现 是基于Matlab代码的-Differential evolution algorithm
JADE
- 一种差分进化算法的变体，收敛性能及其优秀，大家可以参考-a variant based on differential evolution algorithm,which has a better convergence performance.
SDEGM
- 改进的差分进化算法优化的灰色模型，灰色模型采用的GM(1，1)。-The improved differential evolution algorithm is optimized for the gray model, and the gray model uses GM (1,1).
jDE
- 一种改进的差分进化算法，可以显示收敛曲线-An improved differential evolution algorithm
de_test
- 差分进化算法，有测试函数，是遗传算法的改进算法，收敛快，精度高。-Differential evolution algorithm, a test function, is an improved genetic algorithm algorithm, fast convergence, high precision.