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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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The economic load dispatch plays an important role in the operation of power system,
and several models by using different techniques have been used to solve these problems.
Several traditional approaches, like lambda-iteration and gradient metho
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采用基于量子粒子群算法来计算电力系统无功优化-Based on the quantum particle swarm algorithm to compute reactive power optimization
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改进的粒子群算法，计算电力系统经济调度问题-Improved particle swarm algorithm, computational power system economic dispatch
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蚁群算法应该到货物搬送问题中，同时也可应用于电力系统调度优化中-Ant colony algorithm to the cargo bay should be problems, can also be applied in power system scheduling optimization
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power system particle swarm optimization
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扇形传感器区域覆盖优化的虚拟力导向粒子群算法-Fan-shaped area coverage sensor-driven power optimization of the virtual particle swarm optimization
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改进的粒子群算法可以用于计算无功优化问题-Improved particle swarm algorithm can be used for calculation of reactive power optimization problems
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免疫算法和粒子群算法结合后用于求解多目标无功优化-
Immune algorithm and particle swarm algorithm is used to solve with more reactive power optimization goal
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本程序用matlab编写，在传统的基本粒子群算法基础上结合多智能体思想，编写了基于多智能体的粒子群算法，并结合电力负荷分配问题比较了其实际效果-This program with matlab, in the traditional basic particle swarm algorithm combining based on multi-agent thought, write based on multi-agent particle swarm algorithm, and combi
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optimal power flow using particle swarm optimization
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前推回代法的辐射状配电网潮流程序 matlab编写蚁群算法实践 粒子群工具箱PSOt 基于遗传算法配电网无功优化方法程序源代码 求解机组组合问题的多种群混沌蚁群算法-Before the backward substitution method for radial distribution power flow program Matlab to write practical particle swarm ant colony algorithm toolbox PSOt Reactive
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基于粒子群算法的 电力系统最优机组检修策略-Maintenance strategy based on particle swarm algorithm optimal power unit
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粒子群算法在电力系统的应用，如电网重构，供电恢复-Particle swarm optimization in power system applications, such as network reconfiguration, power is restored
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粒子群神经网络的预测编程实现,电力负荷预测本人已实现-Particle Swarm neural network predictive programming, I realized the power load forecast
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采用粒子群算法PSO优化BP神经网络，进行风电功率预测，含实际数据和案例-Particle swarm optimization PSO BP neural network for wind power prediction, including the actual data and case
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Optimal Power Flow by Particle Swarm
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This program is to reconfigure distribution network by Binary Particle Swarm Optimization (BPSO) method for 33-bus distribution network. The object function is to minimize power loss. It runs in matpower 4.1 version.
How to run it:
1. Download ma
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This program is to reconfigure distribution network by Binary Particle Swarm Optimization (BPSO) method for 33-bus distribution network. The object function is to minimize power loss. It runs in matpower 4.1 version.
How to run it:
1. Download ma
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optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm
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