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用基本粒子群算法来求解无约束的优化问题。-Particle swarm optimization with solving unconstrained optimization problems
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遗传算法结合粒子群算法的例子，采用matlab编程-Particle swarm optimization with genetic algorithms example, using matlab programming
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基于扩展记忆的粒子群优化算法（Particle Swarm Optimization based on memory）-This paper combines SVM with improved PSO (Particle Swarm Optimization with Extended Memory, PSOEM) and then builds PSOEM-SVM forecasting model. The PSOEM searches the solution space intelli
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Particle Swarm Optimization with different ineria weights
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该算法可以计算含DG的配电网优化计算，算例采用IEEE 33 bus test system。-Our algorithm package can solve the distribution active power optimization with the consideration of distributed generation (DG). The test case is based on IEEE 33 bus test base. Enjoy it.
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本文提出了一种新的混合模糊动态速度反馈的粒子群的优化(HFDVF-PSO）解决经济调度问题的非光滑的成本考虑阀点效应和多种燃料选择功能。-This paper proposes a new Hybrid Fuzzy Dynamic Velocity Feedback Particle Swarm Optimization (HFDVF-PSO) for solving conomic Dispatch (ED) problem with non-smooth cost functions con
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自编程序，可以用于BP神经网络预测，利用PSO进行参数寻优，具有较好的效果-Self programming, can be used for BP neural network, using the PSO for parameter optimization, with good results
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it is the matlab code of particle swarm optimization with a test function that can be change-it is the matlab code of particle swarm optimization with a test function that can be change..
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用粒子群算法整定PI型广义预测控制器中的两个参数-Particle swarm optimization with tuning PI generalized predictive controller two parameters
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用PSO算法优化小波网络的权值，简单易懂，可以在此基础上作改进-Wavelet Network optimization with PSO algorithm weights, easy to understand, we can make improvements based on this
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matlab的粒子群算法工具箱，里面有PSO算法非常完善的工具-Particle swarm optimization toolbox of matlab with PSO algorithm is the perfect tool
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Particle Swarm Optimization (PSO) Sample Code using Java
This project is a complete version of Particle Swarm Optimization with Java sample code described in http://gandhim.wordpress.com/2010/04/04/particle-swarm-optimization-pso-sample-code-usi
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现有的LSSVM工具箱，自带PSO优化，参数无需调整。(The existing LSSVM toolbox combine with PSO optimization)
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粒子群优化算法是一种基于群体智能的演化计算技术。与遗传算法相比，PSO没有遗传算法中的选择(Selection)、交叉(Crossover)、变异(Mutation)等操作，而是通过粒子在解空间追随最优的粒子进行搜索。(Particle Swarm Optimization (PSO) is an evolutionary computing technique based on group intelligence. Compared with the genetic algorithm, P
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粒子群算法，包括主函数，目标函数，约束条件等。可用于多目标函数的处理。(Particle swarm optimization algorithm, including the main function, objective function, constraints and so on. Can be used to deal with multiple objective functions.)
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A Modified Particle Swarm Optimization Technique for Economic Load Dispatch with Valve-Point Effect
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Abstract: With the development of engineering technology and the improvement of mathematical model, a large number of optimization
problems were developed from low dimensional optimization to large-scale complex optimization. Large scale global opti
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PSO优化BP神经网络 MATLAB版本2016a PSO优化BP神经网络的权值和阈值 有详尽的注释 并结合2016a的新版本函数特性，优化了算法(PSO optimization BP neural network MATLAB version 2016a PSO optimization BP neural network weights and thresholds Detailed comments and combined with the 2016a new version of t
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粒子群算法与多目标优化问题的结合，解决背包问题实例(Combining particle swarm optimization with multi-objective optimization, we solve knapsack proble)
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带交叉算子的量子粒子群优化算法~~~~~~~~~~(Quantum Particle Swarm Optimization with Crossover Operator)
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