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Description: 粒子群程序代码。包括JAVA和matlab非常使用。适合初学者-Particle Swarm program code. Including the very use of JAVA and matlab. Suitable for beginners
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Size: 1541120 |
Author: 留言民 |
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Description: qpso的全局搜索性能远比基本的pso好，而且速度快。-qpso overall search performance than the basic PSO good, and fast.
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Size: 1024 |
Author: zhanlan |
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Description: PSO算法，经过改进，用于优化并用MATLAB实现，希望对大家有所帮助。-PSO algorithm is improved for the optimized and used MATLAB to achieve, I hope all of you to help.
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Size: 3072 |
Author: 佳佳 |
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Description: 蚁群算法的简要介绍和各种蚁群算法的matlab标准程序及改进的算法。-Ant colony algorithm and a brief description of ant colony algorithm matlab standard procedures and the improved algorithm.
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Size: 369664 |
Author: jcuaon |
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Description: 这是一个粒子群算法求解车辆路径的源码，用matlab仿真实现。-This is a particle swarm algorithm for vehicle routing the source, using matlab simulation.
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Size: 1024 |
Author: ghy |
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Description: 一个求解TSP问题的粒子群算法，用matlab仿真实现。-A solution of TSP problem PSO with matlab simulation.
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Size: 4096 |
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Size: 1024 |
Author: bowenwoo |
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Description: 自编的多目标粒子群优化算法，可以运行哦。-Written and directed the multi-objective particle swarm optimization, you can run, oh.
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Size: 1024 |
Author: sunny |
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Description: 基本的粒子群算法十分清晰 便于理解 适合初学者学习应用-The basic particle swarm algorithm is very clear and easy to understand for beginners to learn the application of
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Size: 3072 |
Author: lixiaolong |
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Description: (粒子群算法)作为添加算子改进GA (遗传算法),供大家学习-(PSO), as the operator to add to improve the GA (genetic algorithm) for them to learn
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Size: 2048 |
Author: 陈沛谕 |
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Description: 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 Optimization [PSO] are equal by Kennedy and Eberhart in 1995 developed an evolutionary computing technology, from preying on the birds of the simulation process. PSO with genetic algorithm is similar to an iterative optimization-based tool, but the use of genetic algorithms and genetic manipulation of different sub-optimize the use of groups between the various entities within the " collaboration" and " competitive" relationship, according to themselves and their competition the flying experience, adjust their behavior. Comparison with genetic algorithms, PSO has the advantage of being simple and easy and did not realize the need to adjust the parameters much. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications.
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Size: 883712 |
Author: wzy |
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Description: 毕设题目，基于K均值的PSO聚类算法，共享了。-Bi-based topic of the PSO-based K-means clustering algorithm, shared.
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Size: 3072 |
Author: yujin liu |
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Description: PSO粒子群算法，求解局部或者全局优化问题-PSO
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Size: 1024 |
Author: 方晗炜 |
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Description: 求解离散问题的pso aco 算法，含german信用数据库-Solving the problem of discrete pso aco algorithm, with german credit database
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Size: 158720 |
Author: 许靖 |
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Description: 智能微粒群为最小二乘支持向量机调参的示例程序（LSSVM+PSO）-Intelligent Particle Swarm and least squares support vector machine modeling(LSSVM+ PSO)
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Size: 10240 |
Author: 王蕊 |
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Description: 基于粒子群算法，可以用于函数优化的源代码，用matlab实现-Based on Particle Swarm algorithm, can be used for function optimization of source code, implementation using matlab
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Size: 15360 |
Author: qinming |
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Description: Matlab粒子群算法优化RBF网络
采用了粒子群算法对RBF神经网络中的参数进行了优化，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Matlab PSO RBF network optimization using particle swarm optimization on RBF neural network parameters are optimized, in the test procedures and verified through particle swarm optimization algorithm for RBF neural network function approximation ability than optimal approach has not been strong
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Size: 5120 |
Author: 陳子力 |
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Description: 粒子群进化算法，标准的源代码程序和实例教程。-Evolutionary particle swarm algorithm, standard procedures and examples of source code tutorial.
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Size: 11264 |
Author: jia |
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Description: This M-file is about using Particle Swarm Algorithm (PSO) to train a Fuzzy Neural Network.
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Size: 1024 |
Author: Mehran Ahmadlou |
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Description: PSO与SVM如何结合及其实际应用 是一篇把这两个算法结合使用的很好文章-PSO and SVM and its practical application of how to combine these two algorithms is a combination of a good article
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Size: 188416 |
Author: 付赛男 |
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