Description: 遗传算法是一种模拟自然界生物进化的搜索算法，由于它简单易行，鲁
棒性强，尤其是其不需要专门的领域知识而仅用适应度函数作评价来指导搜
索过程，从而使它的应用范围极为广泛，并且己在众多领域得到了实际应用，
取得了许多令人瞩目的成果，引起广大学者和工程人员的关注。- The genetic algorithm is a kind of searching method which simulates the
natural evolution. It is simple and easy to implement, especially it do not need
the special field knowledge, so it has been using in very broad fields. Now the
genetic algorithm has got a lot of fruits and more scholars begin to pay attention
to it.
Platform: |
Size: 1424384 |
Author:百度 |
Hits:
Description: 基于信息几何构建朴素贝叶斯分类器，一篇论文，写的挺好的。请改名为doc
简单的实现了遗传算法的功能。-Geometry-based Naive Bayes classifier to build, a paper written in very good shape. Simple implementation of genetic algorithm. Platform: |
Size: 165888 |
Author:大懒 |
Hits:
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。-This is a very simple genetic algorithm source code is determined by 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 there is no need troubleshooting. The application of a specific amendment to this code, the user simply by changing the definition of constants, and the definition of "evaluation function" can be. Note that the code is designed to seek maximum value, where the objective function can only take on positive values and the function values and individuals there is no difference between the values of adaptation. The system uses the ratio option, essence model, a single point of hybridization, and uniform mutation. If we replace the uniform Gaussian mutation variation, may get better results. Code without any graphics, or even no screen output, mainly to ensure a high portability between platforms. Readers can ftp.uncc.edu, directory coe/evol file pr Platform: |
Size: 4096 |
Author:陈朋 |
Hits:
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。-This is a very simple genetic algorithm source code is determined by 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 there is no need troubleshooting. The application of a specific amendment to this code, the user simply by changing the definition of constants, and the definition of "evaluation function" can be. Note that the code is designed to seek maximum value, where the objective function can only take on positive values and the function values and individuals there is no difference between the values of adaptation. The system uses the ratio option, essence model, a single point of hybridization, and uniform mutation. If we replace the uniform Gaussian mutation variation, may get better results. Code without any graphics, or even no screen output, mainly to ensure a high portability between platforms. Readers can ftp.uncc.edu, directory coe/evol file pr Platform: |
Size: 4096 |
Author:陈朋 |
Hits:
Description: 用遗传算法来求最大值，虽然很简单但是很经典，值得参考-Using genetic algorithm to seek the maximum value, although very simple, but classic, worthy of reference Platform: |
Size: 3526656 |
Author:kanstar |
Hits:
Description: 免疫遗传算法，该算法很好的客服了简单遗传算法的早熟问题，是对基本遗传算法的一种改进-Immune genetic algorithm has very good customer service the premature simple genetic algorithm, the basic genetic algorithm is an improved Platform: |
Size: 109568 |
Author:kanstar |
Hits:
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。 -This is a very simple genetic algorithm is Denis Cormier source of Carolina re (State) development, Sita leads S.R aghavan (of Carolina at leads, where re. Code that is actually less as far as possible, don t find fault. For a particular application of this code, the user need revision of the constant change and define "evaluation function definition of". Note the design code for maximum, which is the objective function can take positive, And the function of the individual value and no difference between fitness. This system USES ratio, essence model, single hybridization and uniform variation. If use uniform variation and variation of Gaussian replacement may get better effect. Code without any graphics, nor even screen output, mainly is the guarantee of the platform between high portability. Readers can from the FTP uncc. J, directory coe/evol edu files in prog. C. The documents required input should be named "j" rather gadata System to produce output file for galog. J TXT Input f Platform: |
Size: 8192 |
Author:hua gong |
Hits:
Description: 这是一个非常简单的遗传算法源代码,非常适于初学者用来锻炼自己对GA算法的编程能力，具有很好的参考意义-This is a very simple genetic algorithm source code, is suitable for beginners to exercise their own programming capabilities of the GA algorithm has a good reference for Platform: |
Size: 10240 |
Author:hua gong |
Hits:
Description:
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。
-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 " merit function" can be. Platform: |
Size: 3072 |
Author:leilei |
Hits:
Description: 这是一个非常基本的遗传算法源程序，很简单，可以下来学习探讨。-This is a very basic genetic algorithm source code, very simple, you can learn off of. Platform: |
Size: 3072 |
Author:peter |
Hits:
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。-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.
Platform: |
Size: 3072 |
Author:Sha zj |
Hits:
Description: 遗传算法程序，不采用工具箱，以简单示例手把手教你如何编写，有助于理解其原理，很不错的程序哦-Genetic algorithm procedures, do not use a toolbox, in a simple example teaches you how to write, help to understand its principle, very good program Platform: |
Size: 4096 |
Author:严达伟 |
Hits:
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。 -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 Platform: |
Size: 5120 |
Author:qinjian |
Hits:
Description: 遗传算法优化神经网络代码，大家可以下载，方法很简单，-Genetic algorithm neural network code, you can download, the method is very simple, Platform: |
Size: 2048 |
Author: |
Hits:
Description: C#编写的遗传算法程序 十分简单 运行速度快 很经典啊-The genetic algorithm program written in C# is very simple, fast running speed classic. Platform: |
Size: 44032 |
Author:冯 |
Hits:
Description: 遗传算法来求解函数的最大值，对了解和使用遗传算法非常有用-Genetic algorithm for function optimization, including a simple function and genetic algorithm, genetic algorithm to seek the maximum value of the function, using a genetic algorithm to understand the very useful
Platform: |
Size: 2048 |
Author:David |
Hits:
Description: 一个简单但完备的遗传算法用于函数优化的程序！对于初学者很有用！-A simple but complete genetic algorithm for function optimization program! For beginners very useful!
Platform: |
Size: 3072 |
Author:魏魏 |
Hits:
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。-This is a very simple genetic algorithm source code, which is developed by Denis Cormier (North Carolina State University), the Sita S.Raghavan (the University of North Carolina at Charlotte) correction. Code to ensure that as little as possible, and in fact do not have to troubleshoot. This code of a specific application correction, the user can simply change the definition of the constants and can be defined "evaluation function". Attention to the design of the code is the maximum, where the objective function can only take positive and there is no difference between the value of the function and the individual s fitness. The system uses the ratio of choice, the essence of the model, a single point of hybridization and uniform variation. If replaced by Gaussian variation uniform mutation, possible to obtain better results. Code no graphics, or even no screen output, mainly to ensure high portability between platforms. Readers can get in the from the file prog.c ftp.uncc.edu, catalog Platform: |
Size: 3072 |
Author:jasondiao1983 |
Hits:
Search - genetic algorithm very simple