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: |
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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: 使用遗传算法训练神经网路的代码，在人工智能方面具有很大的价值-use of genetic algorithm to train the neural network code, the AI has great value Platform: |
Size: 4096 |
Author:罗旺 |
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Description: 利用数论中的佳点集的理论和方法，对遗传算法中的交叉操作进行了重新设计，给出了一个新的遗传算法，称之为佳点集的遗传算法
站长不接受我的代码说明名你对佳点集完全不了解我白传了-use of the theory of good points of the theory and method of genetic algorithm crossover operator of a new design. is a new genetic algorithm, call it good point-set head of the genetic algorithm does not accept the code I note from your good points I totally unaware of the white- Platform: |
Size: 595968 |
Author:lixijuan |
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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 |
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Description: 详细讲述模拟退火算法的理论原理。并TSP问题为例进行讲解，并各处多种语言的源代码，包括c，matlab以及delphi。
-Simulated annealing algorithm described in detail the theory of principle. And TSP as an example to explain the problem and the source code of various languages, including c, matlab, as well as delphi. Platform: |
Size: 25600 |
Author:lian |
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Description: 简单的遗传算法源程序，你可以运行及参考，初步掌握遗传算法的过程-Simple genetic algorithm source code, you can run and reference, the initial grasp the process of genetic algorithm Platform: |
Size: 6144 |
Author:Anni |
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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: 传算法伪代码实例，遗传算法中最重要的过程就是选择和交叉。 -Examples of pseudo-code algorithm, genetic algorithm is the most important process of selection and crossover. Platform: |
Size: 1024 |
Author:何炎雯 |
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Description: matlab源码，运用遗传算法 优化RBF隐层神经元的中心值，宽度，和权值，具有很强的学习性。-matlab source code, the use of genetic algorithm optimization of RBF hidden layer neurons in the central value, width, and weight, has a strong learning. Platform: |
Size: 8192 |
Author:陆文龙 |
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Description: 量子遗传算法对标准函数的优化，在matlab下的源程序-Quantum genetic algorithm optimization of the standard function in matlab source code under the Platform: |
Size: 12288 |
Author:李晓东 |
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Description: < 控制系统计算机辅助设计--MATLAB语言与应用>>系统地介绍了国际控制界最流行的控制系统计算机辅助设计语言MATLAB，侧重于介绍MATLAB语言编程基础与技巧、数学问题的MATLAB求解、线性系统计算机辅助分析、控制系统与其他复杂系统的Simulink建模，控制系统的计算机辅助设计方法，包括串联控制器、状态反馈控制器、多变量系统频域设计、PID控制器设计、最优控制器设计、LQG/LTR控制器设计、H2=H1 最优控制、分数阶控制、自适应控制、模糊控制、神经网络控制、遗传算法优化控制等。本电子文档为其源码光盘内容，源码多多，利于学习参考。-"" Control System for Computer-Aided Design- MATLAB language and application of "" a systematic introduction to the international control of world s most popular computer-aided control system design language MATLAB, introduced the MATLAB language programming focusing on the foundation and skills, the MATLAB mathematical problem solving, computer-aided analysis of linear systems, control systems and other complex systems Simulink modeling, control system, computer-aided design methods, including serial controller, state feedback controller, multi-variable system, frequency-domain design, PID controller design, optimal controller design, LQG/LTR controller design, H2 = H1 optimal control, fractional order control, adaptive control, fuzzy control, neural network control, genetic algorithm to optimize control. This electronic document its source code CD-ROM content, source code lot, conducive to learning for reference. Platform: |
Size: 2137088 |
Author:任勇 |
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Description: 这是一个比较基础的遗传算法源代码，可以在此基础上根据个人的实际需要进行改动，希望有用！-This is a simple original code of genetic algorithm，you can adjust it according to your need。May it s helpful to you！！ Platform: |
Size: 3072 |
Author:Dr.Wang |
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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: |
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Author:李礼 |
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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: |
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Author:LYC |
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Description: 遗传算法车间调度,车间作业调度问题遗传算法
--------------------------------------------------------------------------
输入参数列表
M 遗传进化迭代次数
N 种群规模(取偶数)
Pm 变异概率
T m×n的矩阵，存储m个工件n个工序的加工时间
P 1×n的向量，n个工序中，每一个工序所具有的机床数目
输出参数列表
Zp 最优的Makespan值
Y1p 最优方案中，各工件各工序的开始时刻，可根据它绘出甘特图
Y2p 最优方案中，各工件各工序的结束时刻，可根据它绘出甘特图
Y3p 最优方案中，各工件各工序使用的机器编号
Xp 最优决策变量的值，决策变量是一个实数编码的m×n矩阵
LC1 收敛曲线1，各代最优个体适应值的记录
LC2 收敛曲线2，各代群体平均适应值的记录
最后，程序还将绘出三副图片：两条收敛曲线图和甘特图（各工件的调度时序图）-Genetic algorithm scheduling, job shop scheduling problems with genetic algorithms -------------------------------------------------------------------------- genetic evolution of the input parameter list, the number of iterations M N population size (taken even) Pm mutation probability T m × n matrix, stored m one piece n a process of processing time 1 × n vector, n a process in which each machine processes the number of Zp with the best value Y1p Optimal Makespan programs, the start time of each process the workpiece can be drawn based on its optimal solution Gantt Y2p, each time the workpiece end of the process, according to its draw Gantt Y3p optimal solution, each piece of the processes using machine code Xp optimal decision variable, decision variable is a real m × n matrix encoded LC1 convergence curve 1, the generation of the best individual record of LC2 fitness convergence curve 2, the average fitness value on behalf of groups record Finally, the program will draw three pict Platform: |
Size: 2048 |
Author:王龙隐 |
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Description: 遗传算法实例,vc6.0,一个用遗传算法实现的走迷宫的例子，本代码能够让你在看遗传算法的看得云里雾里时，揭开那层面纱，让你更加理解遗传算法，编写出自己的遗传算法.-Instances of genetic algorithm, the Maze example of a genetic algorithm, the code allows you watching When the Genetic Algorithm seen foggy opened the veil, so you better understand the genetic algorithm, write your own Genetic Algorithms Platform: |
Size: 13312 |
Author:jimye |
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Search - code of genetic algorithm