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Jane-case-said-genetic-algorithm

于 2013-08-05 发布 文件大小:5KB
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代码说明:

  通过一个简单的例子来讲解遗传算法,适合初学者学习领悟遗传算法的真谛。(Through a simple example to explain the genetic algorithm, genetic algorithm is suitable for beginners to learn comprehend the true meaning.)

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  • NODE_IEEE30
    电力系统标准测试系统,30节点系统,格式完全正确,可以方便的用来分析计算。(Power system standard test system, 30-bus system, the format entirely correctly, can easily be used to analyze the calculation.)
    2009-11-13 17:39:28下载
    积分:1
  • altl
    有关案例推理的matlab源程序,比较简单,请大家多指教(the CBR source of Matlab, relatively simple, please enlighten more)
    2020-10-08 15:27:37下载
    积分:1
  • 新建文件夹
    说明:  jaya算法,MATLAB程序,需要的可以自行下载(aya algorithm, matlab program, you can download what you need,)
    2021-04-22 22:38:48下载
    积分:1
  • ocr
    this is a matlab code source
    2010-05-31 03:12:48下载
    积分:1
  • JHSantiagoTexcoco_FletcherReeves-MatLab
    Prueba1 FletcherReeves Hernández Santiago José Maestría en Ciencias de la Computación Septiembre / 2011 1. Comenzar con un punto arbitrario 2. Calcular Gradiente de Fi 3. Si el Gradiente Fi es igual a 0(converge), termina 4. Si el Gradiente Fi es !=0 continuar 5. Encontrar dirección de búsqueda Si= -GradienteFi= - Gradiente F(Xi) 6. Determinar la Longitud Optima del incremento lamda(i) en dirección Si X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi) 7. Hacer i=2 8. Obtener Gradiente Fi 9. Calcular Si= -GradFi + ( [abs(GradFi)^2]/[abs(GradF(i-1))^2] )*S(i-1) 10. Determinar la Longitud Optima del incremento lamda(i) en dirección Si X(i+1)=X(i)+lamda(i)*S(i)= X(i)-lamda(i)*Gradiente F(Xi) 7. Verificar Optimalidad de X(i+1) Si es optimo, detener Si no es optimo hacer i=i+1 e ir al paso 8
    2013-08-08 14:30:24下载
    积分:1
  • chouqu
    LFM 抽取处理 D=5 LFM加SNR=10dB LFM加10dB噪声抽取输出需加滤波器(LFM draw sample D=5,LFM was added with noise,and SNR=10dB)
    2010-01-26 19:49:19下载
    积分:1
  • series_compensator1
    power system metigation series compensation
    2013-03-17 03:54:24下载
    积分:1
  • AntColony
    蚁群算法是一种模仿蚁群行为的仿生优化算法,其实现机理包括两个基本阶段:适应阶段和协作阶段。在适应阶段,各可行解根据积累的信息不断调整自身结构,路径上经过的蚂蚁越多,信息量越大,则该路径越容易被选择:时间越长,信息量越小。在协作阶段,各可行解之间通过信息交流,以期望产生性能更好的解。(Ant colony algorithm is a mimic ant colony behavior of bionic optimization algorithm, its implementation mechanism includes two basic stages: adaptation and collaboration. In adaptive phase, the feasible solution according to the accumulated information constantly adjust their structure, path through the more the ants, the greater the amount of information, it is the easier path is chosen: the longer the time, the smaller the amount of information. The collaboration stage, through the exchange of information between the feasible solution, expecting to generate better solutions.)
    2014-12-29 22:05:34下载
    积分:1
  • j
    说明:  if we wanted complex baseband model or to impose some filtering function
    2010-07-18 22:29:23下载
    积分:1
  • Double_buck_PI_Control
    Double_buck_PI_Control.rar,功率电子领域matlab仿真文件,已经验证过,程序运行正常(Double_buck_PI_Control.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)
    2013-08-26 22:38:07下载
    积分:1
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