Description: 离散二进制粒子群优化算法，非常热门的新算法，给出几个函数实例，供大家参考-discrete binary PSO algorithm, a very popular new algorithm, gave a few examples of function, for your reference Platform: |
Size: 209920 |
Author: |
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Description: 修正过的pso 算法 属于离散型的pso程序，可用于变量筛选，效果不错！-Modified discrete PSO algorithm belonging to the PSO procedure, can be used for variable selection, good results! Platform: |
Size: 1024 |
Author:曹洪印 |
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Description: 粒子群加连续潮流法，能优化变压器分接头，进行多变量优化，使系统非常稳定-PSO plus continuous power flow, transformer taps can be optimized, multi-variable optimization, making the system very stable Platform: |
Size: 31744 |
Author:周礼 |
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Description: 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-dimensional, To increase the variable your own change program Platform: |
Size: 5120 |
Author:michaeljhon |
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Description: PSO MATLAB cod related to evolution algorithm,for optimazation and numerical functions that have 1 or 2 variable or most Platform: |
Size: 1024 |
Author:afso0on |
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Description: GA遗传算法与PSO离子群组合算法matlab程序，以下是使用本程序的简单介绍与使用步骤
1）修改设计变量个数
NPar变量定义的是设计变量个数，本例为8，使用时需根据自己实际情况进行修改。
2）修改设计变量的上下限
VarLow 与VarHign定义的是设计变量的上下限，使用时需根据自己实际情况进行修改。记住，变量的维数，要与1）变量个数一致哦。
3）修改FunName
变量FunName定义的是优化目标函数值的计算函数，根据自己实际情况改成自己的函数名。
4）修改最大迭代次数MaxIterations
要根据自己的问题实际，通过试算找出合适的MaxIterations数。
如果，你对GA与PSO比较精通，还可以通过修改KeepPercent、CrossPercent来提高算法的效率，但是对于初学者来说，上述的步骤与操作已经足够，所以其它不再赘述。祝你好运！
-GA genetic algorithm and PSO Ion combination algorithm matlab program, the following is a brief description of the use of this procedure with the use of step a) to modify the design variables are defined by the number of NPar variable number of design variables, in this case eight, when used according to need their actual situation changes. 2) modify the design variables on the lower limit is defined VarLow and VarHign upper and lower limits of design variables need to be modified when used according to their actual situation. Remember, dimensions variable, the number to be with a) variable consistency oh. 3) Modify FunName variable FunName definition is to optimize the objective function value calculation function, according to their actual situation into their own function name. 4) Modify the maximum number of iterations MaxIterations issue according to their actual, through spreadsheets to find the appropriate number MaxIterations. If you are more proficient GA and PSO, but also can Platform: |
Size: 123904 |
Author:天天 |
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Description: In this work, an algorithm for classical particle swarm optimization (PSO) has been discussed. Also, its
codes in MATLAB environment have been included. The e ectiveness of the algorithm has been analyzed
with the help of an example of three variable optimization problem. Also, the convergence characteristic
of the algorithm has been discussed. Platform: |
Size: 2456576 |
Author:vahid62
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Description: In this work, an algorithm for classical particle swarm optimization (PSO) has been discussed. Also, its
codes in MATLAB environment have been included. The effectiveness of the algorithm has been analyzed
with the help of an example of three variable optimization problem. Also, the convergence characteristic
of the algorithm has been discussed. Platform: |
Size: 3072 |
Author:vahid62
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Description: ?本程序在matlab环境下，对粒子群编程，完成对两个变量函数的寻优(In this program, in the MATLAB environment, the particle swarm optimization is used to optimize the two variable functions.) Platform: |
Size: 2048 |
Author:Anthony-1993
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Search - pso matlab variable