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9下载：
Python实现的粒子群优化算法源代码，需要引用到Numpy，需要对自定义问题进行优化只需要更改f6函数即可，智能算法本身的参数亦可以自行设定。-Python implementation of the PSO algorithm source code, you need to refer to Numpy, Custom issues need to be optimized to only need to change the f6 function, the smart algorith
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K近邻算法在Matlab中的实现，相当完整，对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped
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一种基于混合策略的改进粒子群优化算法，包括执行程序hpso.m和参数设定hPSOoptions.m两个源文件。代码清晰，易于改进实现。结果显示有效的提高了SPSO的性能-A hybrid strategy based on improved particle swarm optimization algorithm, including the implementation of procedures and parameters set hpso.m two hPSOoptions.m sou
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一个非常好的粒子群算法实现，该算法为matlab实现-A very good PSO implementation, the algorithm for the matlab implementation
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提供一个改进的pso的算法实现，并应用Java语言实现和测试，供优化方面的研究者参考-Pso provide an improved implementation of the algorithm and application implementation and testing of Java language for optimization of the researchers refer to
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时变参数的粒子群优化的matlab实现，可用于解决多种连续优化问题-A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with resp
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matlab实现的PSO算法，主要功能是模拟粒子群算法，经过测试可以运行。-matlab implementation of the PSO algorithm, the main function is to simulate particle swarm algorithm is tested to run.
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This an implementation of Particle Swarm Optimization algorithm using
the same syntax as the Genetic Algorithm Toolbox, with some additional
options specific to PSO. Allows code-reusability when trying different
population-based optimization al
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改进的差分PSO算法，Java实行的，有兴趣的可以参考下-PSO algorithm to improve the differential, Java implementation, and are interested can refer to the following
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Implementation of Particle Swarm Optimization Algorithm for solving continuous problem.
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pso算法模拟程序，对PSO算的基础原理进行了架构实现。可以供进一步开发使用。-pso algorithm simulation program, based on the principle of PSO considered a framework for implementation. Can be used for further development.
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pso算法的简单程序，全面的实现了算法的简单快捷性。解决寻找最优问题。-the pso algorithm simple program, comprehensive implementation of the algorithm is simple and quick. The search for optimal problem.
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matlab实现的PSO优化算法，非常易于使用-matlab implementation of the PSO optimization algorithm, very easy to use
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粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
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用MATLAB实现PSO算法，程序没错误，可以直接运行-Implementation of PSO algorithm with MATLAB, the program no error, can be directly run
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PSO算法的Matlab程序，本文给出了基于PSO算法的Matlab实现，给出了一个例子，通过这个例子，能学会PSO算法的基本使用-PSO algorithm Matlab program, this paper gives a PSO algorithm based on Matlab implementation, gives an example, through this example, can learn the basic use of PSO algorithm
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IMPLEMENTATION OF PID CONTROLLER USING PSO AND HARMONY SEARCH ALGORITHM FOR DC MOTOR SPEED CONTROL SYSTEM
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pso算法的matlab实现最大功率点追踪中应用(Application of maximum power point tracking in matlab implementation of PSO algorithm)
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PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的"交叉"(Crossover) 和"变异"(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(The PSO algorithm is a kin
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用c语言实现PSO算法，并经过调试可以实现最大功率点的追踪(Implementation of PSO algorithm in C language)
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