搜索资源列表
DE
- DE 生物进化算法的matlab实现，一类优化仿生算法-DE biology evolutionary algorithm matlab implementation, a class of bionic optimization algorithm
Drude_model
- effecient EM parameters for metamaterial with Drude model
OldDeMatcode
- DE差分进化优化算法的源代码，从外文网站下载-DE optimization toolbox from the web.
Optimization
- 《小波消噪阈值算法优化》详细阐述了一种自适应小波阈值消噪法。经matlab验证，改进后的算法消噪性能大大提高。-《Optimization threshold algorithm of wavelet de-noising》discribes an adaptive threshold de-noising based on wavelet. It’s proved by matlab program that the performance of adaptive algorithm is m
DE
- 微分进化算法，用于参数优化、寻找极值等，可自行加入其他约束条件和修改目标函数-Differential evolution algorithm for parameter optimization, search extreme, can free to add other constraints and modify the objective function
de
- 基于matlab平台编写的微分进化算法，可用于电力系统问题优化-Based on matlab platform written in differential evolution algorithm can be used for optimization of power system problems
de-LDPC
- 该算法时LDPC码优化的好帮手。通过差分进化（DE）实现LDPC码度分布优化。给定码率，自动搜索最佳度分布。算法运算量较小，可以得到次优解。-The algorithm of LDPC code optimization is a good helper. Through differential evolution ( DE ) to realize LDPC code degree distribution optimization. Given rate, automatic search
DE
- 编写改进的差分进化算法，并对神经网络进行优化-improved differential evolution algorithm to optimization the neural network
DE-phase-only-synthesis
- 运用差分进化算法实现一维线阵方向图优化，还包含了带有单纯形算法局部搜索的混合算法程序-One-dimensional linear array pattern optimization using differential evolution algorithm
de
- 采用差分进化算法结果的单目标函数优化，可以直接运行-Differential evolution algorithm using a single objective function optimization results can be run directly
DE
- 差分演化模板程序,matlab函数优化。-Differential evolution template program, matlab function optimization.
DE_FOPID
- 运用差分进化算法（DE）优化分数阶pid控制器-Use of differential evolution algorithm (DE) optimization of fractional order pid controller
De-MatLab-code
- 差分进化的程序，包含有几种测试函数，测试函数中有一个属于有约束的优化。内有说明文档-Differential evolutionary process, including several test functions, there is a test function belonging constrained optimization. There are documented
de
- 微分进化(DE) 是比较新的基于群体的随机优化方法。它具有简单、快速、鲁棒性好等特点，这是一个微分基本算法程序-Differential evolution (DE) is a relatively new method of population-based stochastic optimization. It has a simple, fast, robust and good features, which is a basic algorithm of differential
DEpidAGC
- PID tuning using DE optimization technique.Run the matlab file and then run the simulink model repeatedly to obtain optimum values.
DE
- 利用差分进化算法（DE）对函数进行优化，参考刘金琨智能控制这本书做的-Using differential evolution algorithm (a) of function optimization
DE
- Differential evolution algorithm for optimization purposes. Fitness function should be written in a separate m file.
DE
- 基本的差分进化算法，可以快速地解决数学建模问题。(Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization)
de
- Example of application of Differential Evolution Algorithm to the optimization of a function
DE example
- Example on DE optimization technique