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【matlab】 toolforSGAPublic DL : 0: SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦）并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；-SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum is) and support for floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform Cross, floating-point crossover single point mutation, floating-point mutation
Update : 2024-05-18 Size : 5120 Publisher : 王龙隐
【Mathimatics-Numerical algorithms】 genetic DL : 0: 实现遗传算法，主要采用自适应交叉算子改进遗传算法。-Genetic algorithm to achieve the main adaptive crossover improved genetic algorithm.
Update : 2024-05-18 Size : 2048 Publisher : jiangchunxia
【matlab】 SGAPublic DL : 0: SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值）并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名）使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方-SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m
Update : 2024-05-18 Size : 4096 Publisher : 余风
【VHDL-FPGA-Verilog】 Fenpin DL : 0: 基于VHDL语言时钟晶振48Mhz的分频器的制作能够实现1HZ分频的时钟信号。-48Mhz clock oscillator based on VHDL language to achieve the production of crossover frequency of the clock signal 1HZ.
Update : 2024-05-18 Size : 222208 Publisher : 张帝
【AI-NN-PR】 Genetic-Algorithms DL : 0: 遗传算法的运行机理及特点是具有定向制导的随机搜索技术，其定向制导的原则是：导向以高适应度模式为祖先的“家族”方向．以此结论为基础．利用随机化均匀设计的理论和方法，对遗传算法中的交叉操作进行了重新设计，给出了一个新的GA算法，称之为随机化均匀设计遗传算法．-Operating mechanism and genetic algorithm is characterized by directional guided random search techniques, the directional guidance of the principle is: the fitness-oriented model of high ancestral " family" orientation. The basis of this conclusion. By randomized uniform design theory and method, the crossover operation in genetic algorithm has been redesigned, GA gives a new algorithm, called the randomized uniform design of genetic algorithms.
Update : 2024-05-18 Size : 104448 Publisher : zs
【AI-NN-PR】 classical-GA-cPP DL : 0: 这是遗传算法的一个典型源程序，非常好用，在交叉和变异方面有创新。-This is a typical source of genetic algorithms, very easy to use, in terms of innovative crossover and mutation.
Update : 2024-05-18 Size : 86016 Publisher : jingjing
【AI-NN-PR】 GeneAlgorithem DL : 0: 这是一个基本的遗传算法的程序，很具有通用性。程序里有关于遗传算法交叉和变异的完整的程序。-This is a basic genetic algorithm procedures, very versatile. Program about genetic algorithm crossover and mutation of complete program.
Update : 2024-05-18 Size : 31744 Publisher : 朱艳萍
【matlab】 tsp DL : 0: 遗传算法在求解旅行商问题中的应用，采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Genetic Algorithm for Traveling Salesman Problem, using a binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation operators, but also introduces the inversion operation!
Update : 2024-05-18 Size : 11264 Publisher : 韩慧玲
【AI-NN-PR】 segmentation DL : 0: 遗传算法在道路图像阈值分割中的应用包括：初始化种群，产生新一代个体，精英选择，交叉，变异-Genetic algorithm in the road image threshold segmentation include: initial population, a new generation of individual, elite selection, crossover and mutation
Update : 2024-05-18 Size : 6144 Publisher : 严路
【VHDL-FPGA-Verilog】 jyfp DL : 0: 将输入1kHZ的信号分频为50HZ的分频-1kHZ the input signal frequency is 50HZ crossover device
Update : 2024-05-18 Size : 1024 Publisher : jiangshaom
【matlab】 DeMat DL : 0: 差分进行算法程序，一共是6个，包括编码，交叉，变异等程序-Difference to algorithm program, a total of six, including coding, crossover and mutation procedures
Update : 2024-05-18 Size : 8192 Publisher : 罗智恺
【matlab】 MATLAB DL : 0: 1．本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数 2．演示程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入演示程序中规定的命令；相应的输入数据和运算结果显示在其后。 3．测试数据输入初始变量后用y=100*(x1*x1-x2)*(x1*x2-x2)+(1-x1)*(1-x1)其中-2.048<=x1,x2<=2.048作适应度函数求最大适应度即为函数的最大值 -1. This program demonstrates a simple genetic algorithm is a random population, then according to the crossover rate and mutation rate, fitness for calculating the maximum number of generations in which algebra 2. Demo program to computer users and the implementation of dialogue, that is displayed on a computer terminal " message" after the keyboard input by the user specified in the order demo program the corresponding input data and results in a subsequent operation. 3. Test data input with the initial variables y = 100* (x1* x1-x2)* (x1* x2-x2)+ (1-x1)* (1-x1) where-2.048 < = x1, x2 < = 2.048 ask for the maximum fitness function is the function of the maximum fitness
Update : 2024-05-18 Size : 10562560 Publisher : 季琳
【matlab】 ga DL : 0: 为遗传算法的主程序采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作! -The main program for the genetic algorithm binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation operators, but also introduces the inversion operation!
Update : 2024-05-18 Size : 3072 Publisher : liujing
【AI-NN-PR】 myGA DL : 0: matlab编的改进遗传算法的程序，对交叉算子和变异算子进行了自适应改进-Improved genetic algorithm matlab code procedure, the crossover operator and mutation operator to improve the adaptive
Update : 2024-05-18 Size : 1024 Publisher : 曹路
【Algorithm】 Multiagent-Optimizer-with-Generalized-Edge-Assemb DL : 0: Multiagent Optimizer with Generalized Edge Assembly Crossover
Update : 2024-05-18 Size : 932864 Publisher : Tom
【AI-NN-PR】 tsp_ga DL : 0: 旅行商的遗传算法包括次序交叉和部分映射交叉，插入变异和交换变异-Genetic algorithms include traveling salesman and part of the order of cross-mapped crossover, mutation and exchange mutation into the
Update : 2024-05-18 Size : 4096 Publisher :
【AI-NN-PR】 GAprog DL : 0: 这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用 Gaussian变异替换均匀变异，可能得到更好的效果。代码没有任何图形，甚至也没有屏幕输出，主要是保证在平台之间的高可移植性。读者可以从ftp.uncc.edu, 目录 coe/evol中的文件prog.c中获得。要求输入的文件应该命名为‘gadata.txt’；系统产生的输出文件为‘galog.txt’。输入的文件由几行组成：数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界，第二行为第二个变量提供上下界，等等。 -This is a very simple genetic algorithm source code, by Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) amendment. Code to ensure that as little as possible, in fact, do not have to troubleshoot. The application of a specific amendment to this code, the user simply changes the definition of constants and the definition of "evaluation function" button. Note that the code is designed to seek maximum value, where the objective function can only take positive and the function value and the individual is no difference between the fitness value. The system uses the ratio of choice, the essence of model, single-point crossover and uniform mutation. If you replace the uniform mutation with Gaussian mutation, may get better results. Code without any graphic or even no screen output, mainly to ensure a high portability between platforms. Readers can ftp.uncc.edu, directory coe/evol file prog.c obtained. Requires the input f
Update : 2024-05-18 Size : 5120 Publisher : qinjian
【AI-NN-PR】 1 DL : 0: 说明: fga.m 为遗传算法的主程序采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Description: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operators, but also introduces the inversion operation!
Update : 2024-05-18 Size : 3072 Publisher : 杨轩
【AI-NN-PR】 2 DL : 0: 说明: fga.m 为遗传算法的主程序采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Description: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operators, but also introduces the inversion operation!
Update : 2024-05-18 Size : 1024 Publisher : 杨轩
【AI-NN-PR】 3 DL : 0: 说明: fga.m 为遗传算法的主程序采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Description: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operators, but also introduces the inversion operation!
Update : 2024-05-18 Size : 1024 Publisher : 杨轩

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