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pso530
- 粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R． Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体
PSO_improved
- 粒子群优化（PSO）算法研究进展综述，本人简要的从八个方面归纳了PSO的研究情况，涉及60余篇文献（主要是IEEE文献），对大多文献进行了简要评价。从文献资料显示，此方面较为系统的归纳尚未见报导，而国内相关成果亦较少。希望通过与大家的共享，以互相交流、共同进步-Particle Swarm Optimization (PSO) algorithm Progress Review, I briefly summarized from eight aspects of the PSO. involv
测试PSO算法的新的组合测试函数
- Novel Composition Test Functions for Numerical Global Optimization func_test.m is the main program, a basic PSO algorithm PSO_func.m is attached. SIS_novel_func.m is the function program,including six composition functions f=SIS_novel_func(x,f
pso
- PSO,A GOOD SOURCE IN MATLAB FROM IEEE.
2
- PSO求解TSP问题的参考文献，查询学校IEEE检索得到！-Particle Swarm Optimization Based on Neighborhood Encoding for Traveling Salesman Problem
04668021
- 这是一篇基于粒子群优化算法的电力系统多目标的无功优化研究的IEEE论文。希望有所帮助。-This is a PSO-based power system multi-objective reactive power optimization of the IEEE papers. Hope that helps.
l-p-opf
- matlab ieee modified 30 bus data and pso economic disaptch
ghasemi
- this file calculate reactive power of 39 buses ieee standard system with pso algorithm
pso_m
- 本程序用matlab编写，采用基本粒子群算法(PSO)来求解IEEE标准40节点电力负荷分配问题-This program iswritten in matlab, the basic particle swarm optimization (PSO) to solve the IEEE standard 40 node power load allocation problem
pso
- 以网损为目标函数，对IEEE-33节点系统进行电容的位置寻优和容量寻优以及变压器分接头的寻优。-The net loss for the objective function, IEEE-33 node system capacitance position optimization and capacity optimization and transformer taps optimization.
ccpso2
- 一种改进的PSO，CCPSO2，该文章发表在IEEE上-An improved PSO, CCPSO2, the article was published in the IEEE
Adaptive-Particle-Swarm-Optimization
- 我在IEEE下载的文章，关于标准PSO算法改进的，感觉挺经典的一篇文章，希望对大家有好处。-An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented
DG-optimal-PSO-algorithm
- 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.
state-estimation-using-PSO
- 使用PSO算法来求解状态估计，测试算例为IEEE 33 test case，效果不错。-Distribution State Estimation (DSE) by using PSO algorithm
Optimal stochastic reactive power scheduling in a microgrid considering voltage droop scheme of DGs and uncertainty of w
- Distributed Generators (DGs) in a microgrid may operate in three different reactive power control strategies, including PV, PQ and voltage droop schemes. This paper proposes a new stochastic programming approach for reactive power scheduling of a mic
IEEE-30-PSO
- 3个节点无功优化，还有IEEE30节点数据,可以用作比较-30 node reactive power optimization, as well as IEEE30 node data
PSO_for_44_bus
- pso codes for the OPTIMIZATION of the grid 44 buses in IEEE system -pso codes for the OPTIMIZATION of the grid 44 buses in IEEE system
PSO
- 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
reapprear_test
- 应用粒子群算法对IEEE33节点进行容量优化(Particle swarm optimization algorithm is used to optimize the capacity of IEEE33 nodes)
IEEE 30 bus system data
- IEEE 30 BUS SYSTEM Comparisons between stochastic and deterministic Unit Commitment solutions are provided. The generation of Unit Commitment solution is guaranteed by DEEPSO, which is a hybrid DE-EA-PSO algorithm, where DE stands for Differential