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pso
使用PSO算法求解适应度函数fitness的极值。fitness可以自己任意定义。(PSO algorithm using the fitness function fitness of the extreme value. fitness can define their own arbitrary.)
- 2010-06-29 12:02:03下载
- 积分：1
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maxwell
maxwell equation simulations in matlab
- 2012-04-24 15:19:52下载
- 积分：1
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MATLAB-qiujizhi
详细描述了如何利用matlab编程语言求取极值问题，描述的十分清楚，有用(Detailed description of how to use the matlab programming language to strike extremal problem, described in very clear, useful)
- 2011-07-06 16:56:35下载
- 积分：1
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Chen_review_PE_wind_200908
风机发电的文献 非常的详细 有关matlab 的例程都很明确(Fan power is very detailed literature about the matlab routines very clear)
- 2014-11-05 13:06:10下载
- 积分：1
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TSOM
Create TSOM 2D/3D image
it is lithograpy semicondutor defect method
- 2013-11-17 16:04:35下载
- 积分：1
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New-folder
The folder contains programs i have written for my project and in college..
- 2013-11-09 01:48:07下载
- 积分：1
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a
说明： Matlab and PSCAD Interface
- 2014-10-09 03:32:06下载
- 积分：1
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Project1
改进节点法建立MNA方程 matlab算法，附有设计文档(Modified nodal equations matlab algorithm established by MNA)
- 2021-01-04 21:19:00下载
- 积分：1
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WGL
某电力厂家故障录波器源代码,很全,可编译通过(A power fault recorder source code, really)
- 2021-01-30 11:18:33下载
- 积分：1
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PSO-evolutionarycomputation
粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究
PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍
同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)
- 2008-03-19 20:51:36下载
- 积分：1
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