Description: This a parallel genetic algorithm for a biinfomatics problem CSP-This a parallel genetic algorithm for a b iinfomatics problem CSP Platform: |
Size: 4096 |
Author:Mary He |
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Description: 遗传算法在捷联惯导初始对准中的应用研究 遗传算法在捷联惯导初始对准中的应用研究-Genetic Algorithms in SINS Alignment of research on genetic algorithm in SINS Alignment of Study of Genetic Algorithms in SINS Alignment of the Applied Research Platform: |
Size: 142336 |
Author:李勇 |
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Description: 遗传算法源程序，求解一个简单优化问题f(x)=x1^2+x2^2,-5<=x1<=5,-5<=x2<=5-genetic algorithm source files, for a simple optimization problem f (x) = x ^ 2 x ^ 2,-5 Platform: |
Size: 2048 |
Author:宋仁栋 |
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Description: 一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold learning algorithms. -by Mike Gashler a complete machine learning includes the neur al net, naive bayesian classifier. decision tree, KNN, a genetic algorithm, manifold and some learning algorithms. Platform: |
Size: 1625088 |
Author:lyb |
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Description: 本文深入研究了 BP 神经网络与遗传算法理论，BP 神经网络在应用过程中面临
着网络训练时间长、容易陷入局部极小值、隐层节点数不易确定等缺点，为了有效
地克服 BP 网的困难，将遗传算法与 BP 网络有机地融合，使它们之间的相互补充增
强彼此的能力，从而获得更有力的解决实际问题的能力。
-this in-depth study of artificial neural networks and genetic algorithms theory, BP neural network applications in the process of facing network training a long time and easily into the local minimum value, hidden nodes is difficult to determine such shortcomings, in order to effectively overcome the difficulties BP network, Genetic Algorithm and BP organic integration of the network, so that they complement each other between enhance mutual capability, thus more effective to solve practical problems. Platform: |
Size: 558080 |
Author:罗旺 |
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Description: 这里是一篇遗传算法在数字图像处理中的应用的硕士论文，对研究这方面的初学者很有用，强力推荐！-here is a genetic algorithm in digital image processing of the master's thesis, to study the beginners very useful, highly recommend! Platform: |
Size: 1890304 |
Author:罗旺 |
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Description: 这是一个面向对象的GA遗传算法库GAlib: A C++ Library of Genetic Algorithm Components)，是我见过中的最好的，功能较全面，使得用遗传算法编程变得极为容易。-This is an object-oriented library GA GA Galib : A C Library of Genetic Algorithm Components), I have seen the best, a more comprehensive function, making use of genetic algorithm programming has become very easy. Platform: |
Size: 868352 |
Author:陈飞扬 |
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Description: 主要解决旅行商问题(traveling saleman problem,简称tsp，即已知n个城市之间的相互距离，现有一个推销员必须遍访这n个城市，并且每个城市只能访问一次，最后又必须返回出发城市，求解最短距离的遗传算法。-mainly to solve the traveling salesman problem (traveling saleman problem, listed tsp, known cities n between the distance from the existing one salesman must traveled n this city, and visit each city only once, finally starting to return to the city, for the shortest distance from the genetic algorithm. Platform: |
Size: 1024 |
Author:阳文 |
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Description: 基于小生竞的遗传算法 Genetic Algorithm Based 0n Niche -based hsiaosheng competing GA Genetic Algorithm Based 0n Nic he Platform: |
Size: 51200 |
Author:limin |
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Description: 这是一个非常简单的遗传算法源代码，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, code guarantees minimal, in fact there is no need Checking. For a specific application to amend this code, users only need to change the constant definition and the definition of "evaluation function" can. Attention to the design of the code for the maximum, the objective function can only take positive; and function and adapt to the individual was no difference between the value. The system uses ratio choices, the essence model, single point of hybridization and mutation uniform. If Gaussian variation replacement uniform variation, may be a better result. Code no graphics, or even no screen output, mainly to ensure that the platforms to the high portability. Readers can get ftp.uncc.edu. Contents coe/evol prog.c the document Platform: |
Size: 3072 |
Author: |
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Description: 水库调度的遗传算法，个体选择、代数、交叉、变异概率控制水库。-reservoir of genetic algorithm scheduling, individual choice, algebra, crossover and mutation probability control of the reservoir. Platform: |
Size: 53248 |
Author:阴影 |
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Description: A Function Optimizer using Simple Genetic Algorithm developed from the Pascal SGA code presented by David E.Goldberg-A Function Optimizer using Simple Genetic Algorithm developed from the Pascal SGA code pr esented by David E. Goldberg Platform: |
Size: 5120 |
Author:刘振兴 |
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