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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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编写的基于遗传算法解决VRP问题的源代码,Prepared VRP based on genetic algorithm to solve the problem of source code
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双极值算例,采用遗传算法计算最优值,此处利用MATLAB实现仿真。-Pairs of extreme example, using genetic algorithm to compute the optimal value, where the use of MATLAB for simulation.
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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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matlab遗传算法工具箱函数及实例讲解-matlab genetic algorithm toolbox function and examples to explain
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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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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
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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,
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遗传算法车间调度,车间作业调度问题遗传算法
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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
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A Parallel Repair Genetic Algorithm to Solve the
Unit Commitment Problem
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该程序用遗传算法优化RBF,并用来进行预测,预测结果更加准确-The program uses a genetic algorithm to optimize the RBF, and to predict more accurately forecast results
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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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遗传算法优化支持向量机的惩罚系数C与高斯核系数g,能够提高支持向量机的分类精度-Genetic algorithm to optimize the punish coefficient of support vector machine (SVM) with gaussian kernel coefficient C g, can improve the support vector machine (SVM) classification accuracy
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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(Genetic Algorithm)是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型,是一种通过模拟自然进化过程搜索最优解的方法。(The genetic algorithm (Genetic Algorithm) is a computational model of biological evolution process of natural selection and genetic mechanism of the simulation of Darwin
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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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基因演算法
如何隨機產生子代
計算產生子代的時間,並畫圖(Genetic Algorithm Example
How to generate random offspring)
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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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