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使用遗传算法解决TSP问题 ，使用了遗传算法的选择、变异等操作。-Using genetic algorithm to solve TSP problem.
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通过遗传学算法，解决旅行商问题的c++程序。对于初学者有指导意义。-By genetic algorithm to solve traveling salesman problem c++ program. For a guide for beginners.
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C++写的遗传算法 进行寻路，模仿基因遗传的方式寻找最佳路径-The the C++ write the genetic algorithm to find its way to mimic the genetic way of finding the best path
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用遗传算法解决TSP问题，运行效率较高。里面的程序多为逻辑程序，对遗传算法过程有更好的理解-Using genetic algorithm to solve TSP problems, higher operating efficiency. Mostly inside the program logic, genetic algorithms have a better understanding of the process
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In this paper, the parameters of PID controller for Automatic
Generation Control (AGC) is tuned according to Generic Algorithms
(GAs) based performance indices in the restructured power systems. The
key idea of the proposed method is to use the
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使用遗传算法对BP网络权值阈值进行优化，再用BP算法训练网络-BP neural network using genetic algorithm to optimize weights threshold value, and then BP algorithm to train the network
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用matlab解决vrp问题,本程序为遗传算法解决基本VRP问题的例程。各供货点距离矩阵及遗传算法参数在VRP.M中给出。以路径长度作为遗传算法的适应度函数，约束函数通过在LEN中增加惩罚因子体现，本程序简便起见将不满足约束的直接加100；-Vrp matlab to solve the problem with the program for the genetic algorithm to solve the basic problem VRP routines. The delivery
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人工智能，遗传算法解决TSP问题，还是20个字-Artificial intelligence, genetic algorithm to solve TSP, or 20 characters
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由于BP神经网络初始神经元之间的权值和阈值一般随机选择，因此容易陷入局部最小值。本方法使用遗传算法优化初始神经元之间的权值和阈值，并对比使用遗传算法前后的效果。-Since the initial BP neural network weights between neurons and thresholds generally random selection, it is easy to fall into local minimum. This method uses a genetic
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基于遗传算法工具箱galib的测试用例生成程序。可用于实验分析用例质量。-Based on the genetic algorithm toolbox galib program for generating test cases. Can be used for the quality of experimental analysis of use cases.
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解决VRP的遗传算法，已经验证，可以运行-Genetic algorithm to solve the VRP has been verified, you can run
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子群优化算法，并把次算法用于求解旅行商问题．为了增强算法的局部搜索能力，在改进的算法中加入倒置，局部搜索等方法，同时利用遗传算法的全局搜索能力强的特点对求到的解再进行优化，同时，对于搜索全局最优路径方面，通过应用消除交叉路径的方法进行了优化．-Sub swarm optimization algorithm, and the second algorithm is used to solve the traveling salesman problem. In order to enhance
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遗传算法解决01背包问题,可以用来学习和参考，有一定的价值-Genetic algorithm to solve knapsack problem 01 can be used to study and reference, there is a certain value
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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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我自己编写的用遗传算法寻找KSW最佳二维阈值，搞噪效果很好。-I prepared using genetic algorithm to find the best 2D Threshold KSW, engage in noise with good results.
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基于遗传算法和非线性规划的函数寻优算法，用遗传算法和非线性规划的函数寻优算法寻找最优值,其中包括三个线性例子和三个非线性例子。-Based on genetic algorithms and nonlinear programming function optimization algorithm, genetic algorithm and nonlinear programming function optimization algorithm to find the optimal val
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30个以Matlab为基础的智能优化算法程序，包括了遗传算法、粒子群算法等，并且每种算法都有各类的改进算法-30 to Matlab-based intelligent optimization algorithm procedures, including the genetic algorithm, particle swarm optimization, etc., and each algorithm has improved algorithm types
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遗传算法的基本程序，主要的步骤，举例说明怎么应用遗传算法优化BP神经网络-GA basic procedures, main steps, illustrate how the application of genetic algorithm to optimize BP neural network
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遗传算法解决飞f（x）=x^2,x属于0到31之间的整数，染色体长度为5，种群为4-Fly genetic algorithm to solve f (x) = x ^ 2, x is an integer between 0 and 31, chromosome length is 5, the population is 4
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