搜索资源列表
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对外经贸大学的硕士论文，用c++编写的遗传算法解决VRP的程序,External Economic and Trade University master' s thesis, using c++ to prepare the genetic algorithm to solve VRP process
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介绍遗传算法的原理，流程。详细展示了交叉，变异，选择等算子。同时，还介绍了谢菲尔德大学遗传工具箱的使用 。本书对初学遗传算法者很有帮助。-Introduce the principle of genetic algorithms, processes. Detail shows crossover, mutation, selection operator. Meanwhile, the University of Sheffield also introduced the use of gen
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使用并行遗传算法解决TSP问题，使用MPI函数库进行通信。-Using parallel genetic algorithm to solve TSP problem, use the MPI library for communication.
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NSGA-II遗传算法的文档，里面的内容比较好理解，是学习遗传算法的必备知识-Genetic Algorithm NSGA-II of the document, which is better understanding of the content is a genetic algorithm to learn the knowledge necessary
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本程序为基本遗传算法学习分类系统源程序,根据系统的输入,该程序进行分析,最终将输入分配到相应的类别中-This procedure as the basic genetic algorithm to learn classification system source code, according to the system input, an analysis of the program will eventually enter the assigned to the correspon
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用C语言完成的遗传算法的一种高效实现，很适用于学习数据挖掘的同学们-Using C language to complete the genetic algorithm to achieve an efficient, it is applied to study data mining students
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用遗传算法优化RBF网络参数,减小RBF网络在函数逼近中的误差-Using genetic algorithm to optimize parameters of RBF network, reducing the RBF Network in Function Approximation Error
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遗传算法并行性好,不易陷入早熟,是目前在遗传算法方面一个比较新研究,该压缩包里包含了大量了一些优秀的遗传算法的一些优秀文章-Parallel genetic algorithm is good, not easily caught early, is the genetic algorithm in a relatively new research area, the compression bag contains a large number of a number of excellen
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遗传算法的备选方案排序,C程序实现,供参考之用.-Genetic algorithm to sort the options, C program, for information purposes only.
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基于遗传算法的人工生命模拟,用VC++编写，对于理解遗传算法有好处-Based on genetic algorithm artificial life simulation, using VC++ to prepare, good for understanding the genetic algorithm
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利用遗传算法优化pid控制器三个参数的matlab程序-The use of genetic algorithm to optimize the three parameters of pid controller matlab program
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遗传算法解决排课问题，内有详尽的优化方案和策略-Genetic algorithm to solve the problem Timetable
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遗传算法经典例子matlab来实现-Matlab genetic algorithm to achieve a classic example of-Matlab genetic algorithm to achieve a classic example of
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使用一系列简单函数对遗传算法进行的改进，克服了传统遗传算法难以全局寻优的缺点。-The use of a series of simple function of the genetic algorithm to improve and overcome the traditional genetic algorithm global optimization difficult shortcomings.
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A genetic algorithm to solve 10 cards problem
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这是一个采用遗传算法优化bp神经网络权值阈值的MATLAB程序-This is a genetic algorithm to optimize neural network weights bp threshold MATLAB program
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遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
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用遗传算法求解TSP问题，包含选择，交叉，变异算子。迭代效率较高(The genetic algorithm is used to solve the TSP problem, including selection, crossover and mutation operators. The iterative efficiency is higher)
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遗传算法解微分方程，同时还包含了matlab中其他几种解微分方程的方法，如dsolve,ode45等。(Genetic algorithm to solve differential equations, but also contains several other methods to solve differential equations in MATLAB, such as dsolve, ode45 and so on.)
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Matlab 遗传算法(Genetic Algorithm)优化工具箱是基于基本操作及终止条件、二进制和十进制相互转换等操作的综合函数库。其实现步骤包括：通过输入及输出函数求出遗传算法主函数、初始种群的生成函数，采用选择、交叉、变异操作求得基本遗传操作函数。以函数仿真为例，对该函数优化和GA 改进，只需改写函数m 文件形式即可。(The Matlab Genetic Algorithm optimization toolbox is a comprehensive function librar
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