Location:
Search - genetic code
Search list
Description: 遗传算法的一个例子：旅行商问题。C++源代码，适合初学者研究遗传算法与最优化等方面的知识。-a genetic algorithm examples : the traveling salesman problem. C source code, suitable for beginners and genetic algorithm optimization and other kinds of knowledge.
Platform: |
Size: 121856 |
Author: hu |
Hits:
Description: 遗传算法接口代码,可根据实际问题调用里边的函数。-genetic algorithm interface code, according to actual problems along the calling function.
Platform: |
Size: 4096 |
Author: 郑军 |
Hits:
Description: 用遗传算法解决八皇后问题！
有比较详细的注释！
还有有关遗传算法理论的描述。
-Using genetic algorithms to solve the issue of the eight Queen
Platform: |
Size: 23552 |
Author: |
Hits:
Description: matlab实现遗传算法，代码超多，共参考。-realize matlab genetic algorithm, super-multi-code, a total of reference.
Platform: |
Size: 216064 |
Author: hanjiandong |
Hits:
Description: 遗传算法，里面分为4个部分，第一，二部分主要是看sexual reproduction 和asxuel reproduction的区别。第三部分里面有spatial 和 non-spatial的比较。第4部分是遗传算法中有关modularity 的相关代码。-Genetic algorithm, which is divided into four parts, the first and second is to look at some of the major sexual reproduction and the difference between asxuel reproduction. Part III there are spatial and non-spatial comparison. Part 4 is a genetic algorithm on the modularity of the relevant code.
Platform: |
Size: 76800 |
Author: 陈坚生 |
Hits:
Description: 一本不错的讲遗传算法的外文书籍，里面有源代码．-A good genetic algorithm stresses foreign books, which source code.
Platform: |
Size: 3762176 |
Author: Gil Chang |
Hits:
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 |
Hits:
Description: Visual C++实现的基因遗传算法库源代码以演示程序Free Source Code for Genetic algorithm
2008年05月21日
C++, Windows, Win32, Visual Studio, MFC, STL, Arch, Dev, Design
基因遗传算法都是针对概率的，所以因为其随机的本质，导致其结果可能是好的，也可能是坏的，于是我们就需要一个方法确认这个解到底有多大的可用性。这是通过计算相似拟合度进行衡量的。染色体Chromosomes代表了基因遗传算法的结果。每次迭代，算法生成一个染色体，这些子孙染色体又会产生新的迭代……关键内容
这个基因算法库是用 Visual Studio 2005 编写的程序，第一个使用 Microsoft C/C++ 编译器，第二个使用Intel C++ 编译器。
如果你希望在你的程序你使用它，有两个办法，1是直接引用 Genetic Algorithm Library 项目，然后编译；2是添加GeneticAlgorithm.lib 静态链接库到项目中-err
Platform: |
Size: 3177472 |
Author: chen |
Hits:
Description: 这个程序主要提高了神经网络，遗传算法，聚类等多种人工智能算法，采样c++编程，，很精简-This process mainly to improve the neural networks, genetic algorithms, clustering and many other artificial intelligence algorithms, sampling c++ Programmed, it is streamlined
Platform: |
Size: 619520 |
Author: wangxuyu |
Hits:
Description: 关于图象处理的大型综合代码，几乎包含了图象处理的所有领域，和人民有点出版社出版的数字图象处理第二版配套。-About image processing large-scale comprehensive code, includes almost all areas of image processing, and the Publishing House of the people a bit Digital Image Processing Second Edition package.
Platform: |
Size: 6338560 |
Author: 王洪蕾 |
Hits:
Description: MATLAB遗传代码的源码 具体如何使用？希望能受到指点-MATLAB specific genetic code of the source how to use? Want to be pointing
Platform: |
Size: 3884032 |
Author: 张华 |
Hits:
Description: 人工免疫算法基于遗传MATLAB代码很有用哦-Artificial immune algorithm based on genetic code useful MATLAB Oh
Platform: |
Size: 90112 |
Author: 123456 |
Hits:
Description: A simple code for GA
Platform: |
Size: 3072 |
Author: Mehdi |
Hits:
Description: 基于遗传算法的研究的代码，利用的是C语言描述-Research based on genetic algorithm code, using the C language to describe
Platform: |
Size: 9093120 |
Author: 张扬 |
Hits:
Description: 车间作业调度问题遗传算法Matlab源码-Genetic Algorithm for Job Shop Scheduling Problem Matlab source code
Platform: |
Size: 5120 |
Author: 曾行 |
Hits:
Description: 《Matlab遗传算法工具箱及应用》源码-" Matlab genetic algorithm toolbox and application of" source
Platform: |
Size: 1396736 |
Author: 陈文军 |
Hits:
Description: 遗传算法中，初始化，编码，解码，选择，交叉，变异，倒位的源程序-Genetic algorithms, initialization, encoding, decoding, selection, crossover, mutation, inversion of the source code
Platform: |
Size: 9216 |
Author: 邓延丽 |
Hits:
Description: 此代码为一段Moldflow二次开发的VB脚本文件，可实现产品厚度查询-This code is a secondary development of Moldflow VB script file, thickness can be checked easily
Platform: |
Size: 217088 |
Author: leekong |
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。 -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 |
Hits:
Description: 基于新的树编码方式用免疫遗传算法解决DCMST问题：提出了一种新的树编码方式，可以方便地表达一棵树，简化了树在遗传算法中的编码表达。且新的树编码方式清楚地表达了边的信息，有利于疫苗的设计。此外，本文使用免疫遗传算法，有效地克服了传统遗传算法中解退化的现象。数值实验表明，解的振荡相对于传统遗传算法减小了，且收敛速度更快。-New tree-based encoding genetic algorithm with immune DCMST problem: A new tree encoding, you can easily express a tree, the tree simplifies the code in the expression of genetic algorithm. And new tree encoding side clearly expressed information is conducive to vaccine design. In addition, we use the genetic algorithm can effectively overcome the traditional genetic algorithm, the phenomenon of degradation in the solution. Numerical experiments show that the oscillation of solutions with respect to reducing the traditional genetic algorithm, and the convergence faster.
Platform: |
Size: 5120 |
Author: LYC |
Hits:
« 12
3
4
5
6
7
8
9
10
...
50
»