搜索资源列表
DEPAPER
- 介绍差分进化算法的英文文献。搞算法的朋友可以借鉴。-Introduce evolutionary algorithms search points of English literature.
DEmatlab
- 标准差分进化算法的MATLAB实现，有一个简单的函数，可以直接运行-MATLAB standard differential evolution algorithm to achieve, there is a simple function, can be run directly
motion-detection
- 运动图像目标检测和跟踪，目标检测采用帧间差分法，跟踪采用meanshift算法。-Moving image object detection and tracking, object detection using fr a me difference method, tracking use of meanshift algorithm.
1_order_FDM
- 一阶导数的常用差分逼近 求解df的差分逼近 flag标记使用的差分算法 算法来自周超红的《一阶导数的差分逼近汇总》 可按照里边的算法构造更高阶的差分逼近-First derivative of the common difference approximation approach for solving differential df flag tag algorithm using the difference
acquisition-for-DF
- 这是一篇关于GPS信号的捕获文章，采用的是DF差分相关捕获的算法，具有在较低信噪比的情况下捕获信号-This is an article about the capture of GPS signal, using the DF algorithm to capture differential associated with low signal to noise ratio in the case of capture signal
DE
- 自己编写的差分进化算法，一个文件，比较简单，适合初学者-I have written the differential evolution algorithm, a file is relatively simple, suitable for beginners
depso
- 基于差分进化的粒子群优化算法，（全局最优粒子群优化算法）-Based on differential evolution particle swarm optimization, (global optimization PSO)
deopf
- 差分进化算法(Differential Evolution, DE)是一种新兴的进化计算技术，或称为差分演化算法、微分进化算法、微分演化算法、差异演化算法。-Differential evolution algorithm (Differential Evolution, DE) is a new evolutionary computation technique, otherwise known as differential ev
20110118_04
- 差分进化算法求解约束优化问题，JADE算法求解，性能优于其他算法-Differential evolution algorithm for solving constrained optimization problems
DeMat
- 针对差分进化算法的程序，基于matlab，-Procedures for the differential evolution algorithm, based on matlab,
Frame-difference-Detection
- 很好的基于帧间差分的目标跟踪检测算法matlab代码，里面含有测试视频！-Good target tracking based on fr a me difference detection algorithm matlab code, which contains a test video!
DE_CPP
- 实现差分进化算法 的C++ 代码。差分进化算法是基于种群的遗传进化算法，应用于参数优化等问题。-DE with VC++
differentialevolution
- differential evolution algorithm 差分演化算法,非常有效-differential evolution algorithm very efficiently
motion-tracking-system-
- 本文分析比较了传统运动目标检测的3种主要方法:背景图像差分法、时态差分法和光流法,在此基础上给出了一种背景图像预测算法,大大减少了因为背景变化而产生的目标检测误差。本文基于OpenCV设计出改进的运动目标检测与跟踪算法,实现了运动目标的跟踪,并在VC++编译环境下,利用USB摄像头作为视频采集器,通过观察实验结果可以看出,本文的运动目标检测算法能够正确地检测出视频图像中的运动目标,而且在检测性能上优于普通的自适应背景差分法。 -Op
差分进化
- 编写简单基本差分进化算法求解无约束优化问题，取得 了良好的优化效果
DE
- 基于差分进化算法的优化算法。在MATLAB平台上运行，可以解决参数优化问题。是一种遗传算法。(Differential evolution algorithm)
vibe_tom
- 一种改进的VIBE运动目标检测算法，属于背景差分法，能对不同环境的目标进行检测，能消除鬼影。(The moving target detection algorithm VIBE belongs to background difference method. It can detect objects in different environments and eliminate ghosts.)
Example of DE
- 使用差分进化算法计算一个简单的求最小值的问题，方便学习和理解差分进化算法的思想(Using differential evolution algorithm to solve a simple minimum problem, it is easy to learn and understand the idea of differential evolution algorithm)
DE
- 本文件为差分演化算法，实现并带有注释，本自带测试函数。(This document is a differential evolution algorithm, implemented and annotated, which comes with test functions.)
DE_Random
- 本文件为差分演化算法，实现并带有注释，不涉及文件操作，初始种群为随机生成。(This document is a differential evolution algorithm, implemented with annotations, does not involve file operations, and the initial population is randomly generated.)