Description: 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-comparison with the genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications Platform: |
Size: 16384 |
Author:wxd |
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Description: 这是一个遗传算法的c的源代码。在上传的压缩包中，有一个对所有原程序包的详细说明的pdf
。-This is a genetic algorithm c source code. The upload compressed, one for all the original package, a detailed description of the pdf. Platform: |
Size: 147456 |
Author:王卫红 |
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Description: 一个经典的C语言遗传算法程序包，可直接用来开发遗传算法的应用程序-a classic genetic algorithm C language package can be used directly for the development of the genetic algorithm application Platform: |
Size: 78848 |
Author:刘志刚 |
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Description: use genetic ant algorithm to slove TSP problem-use genetic algorithm to slove ant TSP ty B'Tselem, Platform: |
Size: 82944 |
Author:william |
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Description: This a parallel genetic algorithm for a biinfomatics problem CSP-This a parallel genetic algorithm for a b iinfomatics problem CSP Platform: |
Size: 4096 |
Author:Mary He |
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Description: 单目标遗传算法c++
本程序以调通，有充分的说明便于理解
须注明的是本程序来自于网络-single objective of the genetic algorithm c procedures to transfer links. Note fully annotated to facilitate understanding of the process from the network Platform: |
Size: 4096 |
Author:dongzi |
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Description: 这是一个面向对象的GA遗传算法库GAlib: A C++ Library of Genetic Algorithm Components)，是我见过中的最好的，功能较全面，使得用遗传算法编程变得极为容易。-This is an object-oriented library GA GA Galib : A C Library of Genetic Algorithm Components), I have seen the best, a more comprehensive function, making use of genetic algorithm programming has become very easy. Platform: |
Size: 868352 |
Author:陈飞扬 |
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Description: 基于改进后的遗传算法 交叉、变异操作后，在windows平台下用C语言实现求解TSP问题-Based on the improved genetic algorithm crossover and mutation operation, in windows platform using C language for solving TSP problems Platform: |
Size: 3072 |
Author:lc |
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Description: 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。 -It is a very simple genetic algorithm source code, is Denis Cormier (North Carolina State University) developed, Sita S. Raghavan (University of North Carolina at Charlotte) amendment. Code to ensure as little as possible, in fact, do not have to troubleshooting. The application of a specific amendment to this code, the user simply changes the definition of constants and the definition of "evaluation function" can be. Note that the code is designed to seek maximum value, in which 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 rate selection, the essence of model, single-point crossover and uniform mutation. If you replace the uniform mutation with Gaussian mutation, may be more effective. 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. Required input file sho Platform: |
Size: 8192 |
Author:李礼 |
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Description: 多变量遗传算法C++版 测试通过 输入输出文件在源码中有说明 根据需要修改目标函数和变量数即可-Multivariate genetic algorithm C++ and the number of variables needed to Platform: |
Size: 14336 |
Author:moon |
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