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利用粒子位置和速度的改变更新，在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真，并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization
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this file calculate reactive power of 39 buses ieee standard system with pso algorithm
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使用粒子群优化算法对电力系统最有潮流进行优化，比较不错的程序-Using particle swarm optimization algorithm for power system to optimize the power flow, relatively good program
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关于多维变量PSO算法优化，是基于matlab的算法分析。可解决电力系统中无功优化等类似问题。例子中是2维的，若要增加变量请自行更改程序-PSO algorithm to optimize multidimensional variable matlab-based algorithm analysis. Solve the power system reactive power optimization and other similar issues. Example is 2-dimens
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电力系统机组组合问题的动态双种群粒子群算法，用MATLAB来仿真-Power system unit commitment problem dynamic double population particle swarm optimization algorithm, using MATLAB to simulate
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基于粒子群算法(PSO)的电力系统经济调度，matlab平台。(solve power system economic dispatch problem by PSO algorithm)
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PSO粒子群优化算法优化电力系统总能量，求全局最小值。(PSO particle swarm optimization algorithm optimizes the total energy of the power system to find the global minimum.)
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