搜索资源列表
evMOGA_toolbox
- ev-MOGA Multiobjective Evolutionary Algorithm has been developed by the Predictive Control and Heuristic optimization Group at Universitat Politècnica de València. ev-MOGA is an elitist multi-objective evolutionary algorithm based on the concept of e
DE-demo
- 微分进化算法是一种非常重要的参数寻有选择算法，可以有效的选择一些控制算法参数。-The differential evolution algorithm to search the global optimal solution of the stochastic optimization algorithm is an analog of the natural biological evolution. Because the differential evolution
sunjen
- 阐述了负荷预测的应用研究,算法优化非常好，几乎没有循环，用于信号特征提取、信号消噪。- It describes the application of load forecasting, Algorithm optimization is very good, almost no circulation, For feature extraction, signal de-noising.
hiesie_v33
- 实现了图像的加水印，去噪，加噪声等功能，在matlab R2009b调试通过，遗传算法无功优化。- Realize image watermarking, de-noising, plus noise and other functions, In matlab R2009b debugging through, Genetic algorithm based reactive power optimization.
quihiu
- LCMV优化设计阵列处理信号，搭建OFDM通信系统的框架，用于信号特征提取、信号消噪。- LCMV optimization design array signal processing, Build a framework OFDM communication system, For feature extraction, signal de-noising.
nanfai
- 包含优化类的几个简单示例程序，用于信号特征提取、信号消噪，数据模型归一化，模态振动。- Optimization class contains several simple sample programs, For feature extraction, signal de-noising, Normalized data model, modal vibration.
jungao
- 实现了图像的灰度化并进一步用于视频监视控，LCMV优化设计阵列处理信号，用于信号特征提取、信号消噪。- Achieve a grayscale image and further control for video surveillance, LCMV optimization design array signal processing, For feature extraction, signal de-noising.
tieben
- 用于信号特征提取、信号消噪，借鉴了主成分分析算法（PCA），LCMV优化设计阵列处理信号。- For feature extraction, signal de-noising, It draws on principal component analysis algorithm (PCA), LCMV optimization design array signal processing.
Algoritmo Col?nia de Abelhas2
- Optimization algorithm proposed by Karaboga in 2005; Works with population; The candidate solutions represent the positions of the food sources; There is only one artificial bee employed for each food source; Recruitment in the colony represents
SIOA
- 标准粒子群算法(PSO)与差分算法(DE)(Particle Swarm Optimization algorithm)
DEPSO_B
- DEPSO, or called DEPS, is an algorithm for (constrained) numerical optimization problem (NOP). DEPSO combines the advantages of Particle Swarm Optimization (PSO) and Differential Evolution (DE). It is incorporated into cooperative group optimization
DE
- 差分进化算法(Differential Evolution, DE)是一种基于群体差异的启发式随机搜索算法，该算法是由R.Storn和K.Price为求解Chebyshev多项式而提出的。DE算法也属于智能优化算法，与前面的启发式算法，如ABC，PSO等(DE optimization algorithm)
55cc4c4aafd34
- iii should Widnuffn good hao de
QKP
- 用遗传算法DE算法求解数值优化问题，实现了一个函数(Solving numerical optimization problems with DE algorithm)