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Description: 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之间的协作和信息共享来寻找最优解．
-Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.
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Size: 134585 |
Author: 周荷 |
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Description: 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. involving more than 60 papers published (mainly IEEE documents), most of the literature on the summary evaluation. Information from the literature in this area is summarized in the system has not been reported, and there is less relevant results. We hope that through the sharing, exchange, and common progress.
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Size: 217967 |
Author: jiangsx |
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Description: 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,func_num)
func_num: from 1 to 6
Now it's just for 10D
The mat files are the associate data files used in the SIS_novel_func.
Using func_plot.m, you could get the 2-D landscape maps for the six functions.
reference:
J. J. Liang, P. N. Suganthan and K. Deb, "Novel Composition Test Functions for Numerical
Global Optimization", IEEE Swarm Intelligence Symposium, pp. 68-75, June 2005.
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Author: fyg26856469 |
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Description: 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之间的协作和信息共享来寻找最优解．
-Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.
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Size: 134144 |
Author: 周荷 |
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Description: 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. involving more than 60 papers published (mainly IEEE documents), most of the literature on the summary evaluation. Information from the literature in this area is summarized in the system has not been reported, and there is less relevant results. We hope that through the sharing, exchange, and common progress.
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Size: 218112 |
Author: jiangsx |
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Description: PSO,A GOOD SOURCE IN MATLAB FROM IEEE.
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Size: 762880 |
Author: halrq |
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Description: 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
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Size: 318464 |
Author: asdwe |
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Description: 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.
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Size: 217088 |
Author: 船长 |
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Description: matlab ieee modified 30 bus data and pso economic disaptch
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Size: 1193984 |
Author: REDDY |
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Description: this file calculate reactive power of 39 buses ieee standard system with pso algorithm
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Size: 444416 |
Author: amir2 |
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Description: 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
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Size: 8192 |
Author: 李进 |
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Description: 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.
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Size: 93184 |
Author: King |
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Description: 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
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Size: 1024 |
Author: xujun |
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Description: 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
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Size: 800768 |
Author: 杨扬 |
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Description: 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.
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Size: 9216 |
Author: polygan |
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Description: 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
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Size: 3072 |
Author: polygan |
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Description: 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
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Size: 4096 |
Author: 卢海明 |
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Description: 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
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Size: 1024 |
Author: kareem |
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Description: 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
algorithm which is inspired by the flashing behavior of fireflies.
The primary purpose of firefly’s flash is to act as a signal system
to attract other fireflies. Metaheuristic algorithms are widely
recognized as one of the most practical approaches for hard
optimization problems. The most attractive feature of a
metaheuristic is that its application requires no special
knowledge on the optimization problem. In this paper, IEEE 33-
bus distribution test system is used to show the effectiveness of
the FA. Comparison with Shuffled Frog Leaping Algorithm
(SFLA) is also given.
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Size: 1024 |
Author: AMIR555 |
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Description: 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
Evolution, EA for Evolutionary Algorithms and PSO for Particle
Swarm Optimization. For the calculation of the optimal economic
dispatch an algorithm based on the Benders Decomposition,
combining the Dual Dynamic Programming, was developed.
Results show that the stochastic approach leads to more ro
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Size: 133120 |
Author: therealneel7
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