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改进遗传算法-郭涛算法做最优化问题很管用
- 改进遗传算法-郭涛算法做最优化问题很管用,算法的基本思想是 先任意产生n个随机数,然后从n个数里随机选择m个数,再有这m个 数合成一个新数,将这个新数同n个数中间适应值函数值的最差的比较, 如果好的话就取代最差的那个,如果它比最好的还要好的话,则把最好的 也取代。如果比最差的坏,则重新合成一个新数。依次循环下去。 程序的奇妙之处是GA_crossover()函数,产生的新数确实比较好,看看 那位大侠能改进一下,产生比这跟好的数。-improved genetic algo
dsdv
- ns2下dsdv实现代码。DSDV(Destination-Sequenced Distance-Vector)协议是先应式路由协议,是由传统的Bellman-Ford 路由协议改进得到的,其特点是利用目的节点序列号解决了DBF算法的路由环路和无穷计数问题。-dsdv the realization of the code under ns2. DSDV (Destination-Sequenced Distance-Vector) protocol is proactive routing p
ImageDeNosieBaseOnPcnn
- 根据PCNN工作原理和噪声特点提出了一种改进的PCNN去噪方法,能够有效去除椒盐噪声,并且很好地保留图像细节。-According to working principle and the noise characteristics of PCNN proposed an improved PCNN de-noising method can effectively remove the salt and pepper noise, and keep a good image detail.
DE
- DE算法的改进及其在系统辨识中的应用,de算法 也是蜂群算法-DE algorithm and its application in system identification, de bees algorithm algorithm is also
snake
- 改进的贪食蛇代码,进行游戏的同时也可以同时进行单词背诵功能-Type text or a website address or translate a document. Cancel Gǎijìn de tān shí shé dàimǎ, jìnxíng yóuxì de tóngshí yě kěyǐ tóngshí jìnxíng dāncí bèisòng gōngnéng Chinese- detected to English translation English
Denoising
- 本文介绍了局部放电信号的消噪方法,主要基于改进的小波消噪和序列脉冲分析手段来实现。-This paper presents a de-noising method for partial discharge (PD) online monitoring of transformers. The method is based on an improved wavelet de-noising approach and a pulse-sequence analysis method.
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
augmented-Lagrangian-
- 利用增广拉格朗日的方法,对图像进行去噪,包含各种去噪、去模糊以及Inpainting方法,改进的算法能够快速、有效的处理图像-Using the augmented Lagrangian method for image denoising, contains a variety of de-noising, go fuzzy and Inpainting method, the improved algorithm can quickly and effectively deal with i
numerical-methods-for-DE
- 微分方程的几种数值解法的对比,隐式梯形积分法、欧拉法、改进欧拉法与解析解对比-numerical methods for solution of differential equations
gaijinxiaoboquzao
- 此为改进的小波变换图像去噪,通过软硬阀值来进行去噪,效果明显,-This is the improved wavelet transform denoising, the threshold for de-noising by soft and hard, the effect is obvious,
(muPlambda)-co-evolutionary-DE
- 将协同进化思想与微分进化算法结合,为一种改进的多种群共同进化微分进化算法-The idea of co-evolution differential evolution algorithm combined for an improved multi-population co-evolution differential evolution algorithm
FA2
- 一种改进的萤火虫算法解决动态0-1背包问题。经过测试,算法就有良好的性能。-Firefly Algorithm (FA), Genetic Algorithm (GA) and Differential Evolution (DE) have been widely used for static optimization problems, but the applications of those algorithms in dynamic environments are rela
DE
- 差分进化算法,利用这个文档对差分进化算法进行简单的学习,并且实现简单的创新与改进。(Differential evolution algorithm, using this document for differential evolution algorithm for simple learning, and to achieve a simple innovation and improvement.)
SHADE
- 该文件是一种改进的自适应差分算法的研究,包括算法程序和参考文献,并用CEC2013 单目标真实参数优化问题测试了算法的性能。(This file is a kind of improved adaptive DE, including the algorithm program and references, and the performance of Success History based Adaptive DE (SHADE) is evaluated on the benchma
PVADE
- 该文件是一种改进的差分算法研究(PVADE),包含一个算法程序和CEC2013 程序,并且算法通过CEC 2013 单目标真实参数优化问题的仿真测试。(This file is a kind of improved DE (Population's Variance-Based Adaptive Differential Evolution, PVADE), including the algorithm program and CEC 2013 programs, and the perfo
DE
- 改进的de算法,可以调用外部函数,对变量可以有所约束(improved DE algorithm The external function can be called, which can be restricted to the variable)
dehaze_code
- 原色通道算法及其改进, 基于MATLAB开发平台的图像去雾程序代码,可运行,适合去雾算法的研究(Primary color channel algorithm and its improvement.MATLAB based development platform for image de fog program code, can be run, suitable for fog algorithm research.)
图片去雾
- 提供了13种图片去雾增强方法,有直方图均衡,clahe,暗原色算法,改进的暗原色算法,实时去雾,引导滤波去雾,天空去雾等,同时给出图像增强前后图像质量评价,可以对jpg,bmp等图片格式进行去雾增强处理,效果非常好(13 kinds of image de fog enhancement methods are provided, including histogram equalization, CLAHE, dark original color algorithm, improved da
soft
- 针对提出的故障信号,利用awgn加噪,对其进行小波软硬阈值降噪,提出一种改进阈值,利用五种自适应阈值函数sqtwolog、rigrsure、heursure、minimaxi和ddencmp中阈值选取原则,对软阈值、硬阈值和改进阈值进行降噪效果对比。(In view of the proposed fault signal, the wavelet soft and hard threshold de-noising is carried out by AWGN adding noise, an
DEPSO求极值
- 改进的差分粒子群算法,并用于求函数极值,程序中分别于DE PSO 蛙跳进行对比,结果显示,改进的差分粒子群更好(The improved Differential Particle Swarm Optimization (DPSO) algorithm is used to find the function extremum. The program is compared with DE PSO frog jump, and the results show that the improve