Description: 本程序基于matlab 遗传算法的源程序代码，遗传算法是应用于各种优化问题的典型算法，有很高的参考价值。-procedures based on the Matlab genetic algorithm source code, the genetic algorithm is applied in a variety of typical optimization algorithm, a high reference value. Platform: |
Size: 587776 |
Author:梁子 |
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Description: 这是遗传算法进行函数优化的程序，可以运行成功，需要的就下吧-This is the source code of genetic algorithm for function optimization, it can run ,down it if you need it. Platform: |
Size: 21504 |
Author:wlr |
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Description: 大家好!这是一个由VC编写的遗传算法解决TSP问题的源代码，希望能初学者有所帮助!-everyone! This is a VC prepared by the Genetic Algorithm for the Traveling Salesman Problem source code, hope to help beginners! Platform: |
Size: 60416 |
Author:舒小敏 |
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Description: 关于求最值的delphi遗传算法源码，绝对可以用，调试通过，界面美观，由王小平书上的c代码改编所成，创建了一个ga类，向构造函数输入合适的参数就可以运算！-seek the most value on the delphi genetic algorithm source code can definitely use, debug, beautiful interface, Wang Xiaoping book adaptation of the c code by 10%, creating a ga category Constructors input to the appropriate Operational parameters can! Platform: |
Size: 256000 |
Author:李有为 |
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Description: 遗传算法求解01背包问题＋实验报告＋参考文献。如果你看了这个程序还是不能明白遗传算法的巧妙，那么还是不要再看这个问题了。-Genetic Algorithm for Knapsack Problem 01 experimental report references. If you read this procedure should not understand the genetic algorithm or clever, then it is better not to look at this issue. Platform: |
Size: 201728 |
Author:gouyabin |
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Description: 遗传算法求解极值的源程序，只需将要求函数在源文件中输入，即可，种子数100，变异概率和交叉概率可调-Extremes of genetic algorithm source code, simply will be asked to function in the source file type, you can, seed number of 100, mutation probability and crossover probability adjustable Platform: |
Size: 540672 |
Author:stefwang |
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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: 遗传算法代码：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；-Genetic algorithm source code：AlphaA specific application to amend this code, the user simply change the definition of constants and define the evaluation function can. Attention to the design of the code is the maximum, in which the objective function can only be positive Platform: |
Size: 4096 |
Author:钟远方 |
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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。-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) corrected. Code to ensure as little as possible, in fact, do not have to troubleshoot. For a specific application fix this code, users only need to change the definition of constants and the definition of "evaluation function" button. Note that the code is designed for the maximum, in which the objective function can only take positive values , and fitness function values and the individual is no difference between the values . The system uses the ratio selection, the essence of the model, a single point crossover and uniform mutation. If you replace the uniform mutation with Gaussian mutation may get better results. Code has no graphics, or even no screen output, mainly to ensure high portability between platforms. Readers can ftp.uncc.edu, catalog coe/evol files prog.c ge Platform: |
Size: 35840 |
Author:周成 |
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Description: 遗传算法的源代码，一共有三个，可以在vc或者vs上运行-Genetic algorithm source code, a total of three, or you can run on vc vs Platform: |
Size: 14336 |
Author:hust |
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