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[Other] Sample_GA DL : 0: VC++编写的简单遗传算法，非常经典，值得下载。-VC prepared by the simple genetic algorithm, very classic, it is worth the download.
Date : 2026-01-13 Size : 58kb User : 沈建峰
[Other] A_very_simple_genetic_algorithm_source_code 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) as amended. Code to ensure that as little as possible, in fact, do not have errors. The application of a specific amendment to this code, the user can change the definition of constants and the definition of "evaluation function" can be. Note the code is designed for maximum value, in which the objective function can only take positive and function to adapt to individual values and there was no difference between values. The system uses the ratio of choice, the best model, a single point of hybridization and uniform mutation. If the variation of the replacement of uniform Gaussian mutation may be more effective. 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 documents obtained prog.c. Asked to enter the fi
Date : 2026-01-13 Size : 4kb User : Kaavield
[Other] gatomax DL : 0: 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
Date : 2026-01-13 Size : 3.36mb User : kanstar
[Other] mianyiga DL : 0: 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
Date : 2026-01-13 Size : 107kb User : kanstar
[Other] Simple-genetic-algorithm-source-code 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。 -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
Date : 2026-01-13 Size : 8kb User : 李礼
[Other] Genetic-Algorithm--Ver.1 DL : 0: This a simple genetic algorithm program for finding minimizers of a function. I wrote this in 1999 when I was interested in aerodynamic optimization problems. I think that genetic algorithm is a very interesting optimization algorithm.-This is a simple genetic algorithm program for finding minimizers of a function. I wrote this in 1999 when I was interested in aerodynamic optimization problems. I think that genetic algorithm is a very interesting optimization algorithm.
Date : 2026-01-13 Size : 4kb User : cdp
[Other] aga DL : 0: 简单的自适应遗传算法，非常适合初学者，一起学习。-Simple adaptive genetic algorithm, very suitable for beginners to learn together.
Date : 2026-01-13 Size : 1kb User : 杨晓东