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2下载:
基于matlab的基本粒子群优化算法,可应用与最优潮流计算等-Matlab-based optimization of the particle swarm algorithm can be applied with optimal power flow calculation
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基于改进粒子群算法的多目标最优潮流计算
基于改进粒子群算法的多目标最优潮流计算-Particle Swarm Optimization Based on Improved Multi-objective Optimal Power Flow
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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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基于双适应度的粒子群算法,采用matlab编程,收敛效果好,可用于求解最优潮流等电力系统优化问题!-Based on the fitness of the two-particle swarm optimization using matlab programming, convergence effect, and can be used to solve power system optimization such as optimal power flow problem!
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optimal power flow using particle swarm optimization
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Optimal Power Flow by Particle Swarm
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利用改进粒子群算法,求解电力系统最优潮流问题,具有较快的收敛速度和精度,并有文献说明。-The improved particle swarm algorithm to solve the optimal power flow problem, has a faster convergence speed and accuracy, and described in the literature.
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利用粒子群算法实现最优潮流计算,得到最优配电网规划结果(Using particle swarm optimization algorithm to achieve optimal power flow calculation, get optimal distribution network planning results.)
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