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微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似，是一种基于叠代的优化工具，但与遗传算法使用遗传操作子进行优化不同，利用群体中各个体之间的“协作”与“竞争”关系，根据自身及其竞争者的飞行经验，调整自己的行为。同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域。,Particle Swarm Opt
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遗传算法+支持向量机，非常的实用，希望对大家有用。-Genetic algorithms+ support vector machine, very useful, we want to be useful.
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自适应遗传算法 [matlab]
对遗传算法的改进 效果不错-Adaptive genetic algorithm [matlab] of genetic algorithms to improve the effectiveness of good
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用matlab编写的采用遗传算法进行图像分割的一个程序-using Matlab prepared using genetic algorithms for image segmentation of a program
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遗传算法工具箱还有实力以及源码
遗传算法工具箱还有实力以及源码-Genetic Algorithm Toolbox Genetic algorithms have the strength and the source strength and source toolbox there
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C#开发的计算机视觉及人工智能领域的一个功能非常强大的类库，包括图像处理库、计算机视觉库、机器学习库、视频处理库等。-AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence- image processing, computer vision, neural networks
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我个人收集的各类智能算法，共有20多个源代码，包括：遗传算法，蚁群算法，粒子群算法，微分进化算法，遗传神经网络算法，粒子群SVM算法，粒子群神经网络算法等混合算法-I collect all kinds of intelligent algorithms, a total of more than 20 source code, including: genetic algorithms, ant colony optimization, particle swarm optimization,
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使用Java开发的基于遗传算法的图像分割程序。本算法源于文章《Selectionist relaxation: genetic algorithms applied to image segmentation》。-Developed using Java based on genetic algorithm for image segmentation process. The algorithm derived from the article "Selectionist relaxation
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这个程序主要提高了神经网络，遗传算法，聚类等多种人工智能算法，采样c++编程，，很精简-This process mainly to improve the neural networks, genetic algorithms, clustering and many other artificial intelligence algorithms, sampling c++ Programmed, it is streamlined
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这是利用遗传算法进行图像分割的matlab源程序-This is the use of genetic algorithms image segmentation matlab source
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根据节点分区情况，确定成簇数目是分簇算法设计的重点，这两个算法对成簇数目进行优化，均匀节点能耗，延长网络寿命。-According to the node partition, determine the number of clusters is a clustering algorithm is designed to focus on these two algorithms to optimize the number of clusters, uniform node energy c
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此为matlab教程范例，包括图像、小波分析、优化、神经网络、遗传算法及其他部分范例-This is an example of matlab tutorials, including images, wavelet analysis, optimization, neural networks, genetic algorithms and other parts of sample
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使用人工智能的遗传算法来解N皇后问题，能已较快的速度来搜索N皇后。-The use of artificial intelligence genetic algorithms to solve N Queen s problem, can have high speed to search for N Queen.
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人工智能遗传算法的原理和应用，ppt课件,法国第戎大学的-The principle of genetic algorithms in artificial intelligence and applications, ppt courseware, the University of Dijon, France
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用遗传算法解决TSP问题.程序中可以任意设置各种遗传算法的参数.有图形界面展示搜索的过程 .-Using genetic algorithms to solve TSP problem. Program can set various parameters of genetic algorithm. Has a graphical interface to display the search process.
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introduction to genetic algorithms
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数据挖掘相关算法集合，有聚类、神经网络、遗传算法等的代码实现-Data mining correlation algorithm collection has clustering, neural networks, genetic algorithms, such as the code implementation
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采用遗传算法直接优化数字PID控制器参数,并控制一个带时延的系统,仿真结果表明遗传算法收
敛较快,得到的PID控制器控制效果明显优于传统的PID控制。
-Optimize the use of genetic algorithms directly figure PID controller parameters and control a system with time delay, simulation results show that the rapid convergence
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have recently become very interested in the area of genetic algorithms and Ant Colony Optimization techniques. I was determined to write a complete program demonstrating these two techniques. In particular I wanted to compare the efficiency of these
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理解普通的遗传算法和佳点集遗传算法的基本思想和不同点,用遗传算法测试一标准函数。佳点集算法测试一标准函数,理解普通的遗传算法和佳点集遗传算法的基本思想和不同点-Understanding of the general genetic algorithm and good point set genetic algorithm' s basic idea and the different points, by using genetic algorithms to test a stand
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