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PSO粒子群寻优算法。
Particle swarm optimization With linkage operator-PSO Particle Swarm Optimization algorithm. Particle swarm optimization With linkage oper.html se
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------名称：带交叉因子的改进PSO算法
------功能：求解多维无约束优化问题
------特点：收敛性强，还可以加入变异算子,------ Name: with cross-factor function to improve the PSO algorithm ------: Solving multi-dimensional unconstrained optimization problem ------ characteristics: strong converge
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粒子群算法，根据自己需要可以更改里面的参数具体情况自己更改-Particle swarm optimization, in accordance with their needs can change the parameters inside the specific circumstances of their own change
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Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. Each particle keeps track of its coordinates
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该文件为粒子群算法优化支持向量机模型参数的matlab代码 支持向量机模型为专门用于处理不平衡数据的成本控制型支持向量机模型-Matlab code of the file support vector machine model parameters for particle swarm optimization support vector machine model for cost control, support vector machine model for dealing wit
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Particle Swarm Optimization with different ineria weights
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This paper propose a Firefly algorithm (FA) for
optimal placement and sizing of distributed generation (DG) in
radial distribution system to minimize the total real power losses
and to improve the voltage profile. FA is a metaheuristic
algori
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粒子群算法源程序与带交叉因子的粒子群优化算法-Particle swarm algorithm source and particle swarm optimization algorithm with cross Factor
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标准粒子群算法在MATLAB中的实现。其主要思想是根据带惯性权重w的PSO算法实现。-Realization of Standard Particle Swarm Optimization in MATLAB. The main idea is to realize the PSO algorithm with inertia weight w.
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粒子群算法PSO和万有引力算法GSA结合优化FNN神经网络进行标准数据集的分类-Particle swarm optimization algorithm PSO and universal gravitation algorithm GSA combined with FNN neural network to optimize the classification of standard data sets
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this source code for pso. particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population
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PSO (Particle swarm optimization algorithm, Particle swarm optimization With linkage operato
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PSO Powerflow with UPFC
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使用粒子群算法以经济性为目标对微网系统进行优化(Using particle swarm optimization (PSO) to optimize the micronetwork system with the goal of economy)
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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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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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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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用粒子群算法对BP神经网络进行训练
亲测可用！(BP Neural Network Training with Particle Swarm Optimization Pro-test is available!)
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采用粒子群算法求解多目标优化问题，有注释(Using particle swarm optimization to solve multi-objective optimization problems with annotations)
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未来高比例可再生能源电力系统愿景下，具有波动
性和不确定性的风/光等可再生能源作为主要能源供应者，给
电力系统带来了巨大的灵活性需求，考虑单一类型灵活性资
源提供调节能力的规划模型和以净负荷包络线为基础的电源
规划方法将不再适用。引入灵活性指标量化评估源荷储多类
型灵活性资源的调节潜力并作为优化决策变量纳入到规划模
型中(Under the vision of the high penetration renewable energy power systems in the futu
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