没有合适的资源？快使用搜索试试~ 我知道了~

文库首页前端Node.jsmatlab的差分算法实现以及粒子群优化算法介绍.docx

matlab的差分算法实现以及粒子群优化算法介绍.docx

1.该资源内容由用户上传，如若侵权请联系客服进行举报
2.虚拟产品一经售出概不退款（资源遇到问题，请及时私信上传者）

版权申诉

0 下载量 56 浏览量 2022-06-18 06:56:32 上传评论收藏 70KB DOCX 举报

温馨提示

试读

28页

。。。

资源推荐

资源详情

资源评论

from:

http://www.madio.net/Article/Class36/Class5/200508/983.html

function dedemov(action);

% DE function minimization demonstration.

% dedemov is called with no parameters.

% Differential Evolution for MATLAB

% International Computer Science Institute (ICSI)

% 1947 Center Street, Suite 600

% Berkeley, CA 94704

% E-mail: [email protected]

% WWW:

http://http.icsi.berkeley.edu/~storn

% This program is free software; you can redistribute it and/or modify

% it under the terms of the GNU General Public License as published by

% the Free Software Foundation; either version 1, or (at your option)

% any later version.

% This program is distributed in the hope that it will be useful,

% but WITHOUT ANY WARRANTY; without even the implied warranty of

% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the

% GNU General Public License for more details. A copy of the GNU

% General Public License can be obtained from the

% Free Software Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.

if nargin<1, %---number of arguments less than one ?

action='initialize';

end;

if strcmp(action,'initialize'),

%---Header of Window--------------------------------

figNumber=figure( ...

'Name','Differential Evolution Demo', ...

'NumberTitle','off', ...

'Visible','off');

%---define area for graphics------------------------

axes( ...

'Units','normalized', ...

'Visible','off', ...

'Position',[0.1 0.35 0.60 0.75]);

%---Set up the Comment Window-----------------------

top1=0.25;

left1=0.05;

right1=0.75;

bottom1=0.05;

labelHt1=0.05;

spacing1=0.005;

promptStr=str2mat(' ',...

' This demo shows the track of the best', ...

' population member for each generation.');

%---First, the MiniCommand Window frame------------------------

frmBorder=0.02;

frmPos1=[left1-frmBorder bottom1-frmBorder ...

(right1-left1)+2*frmBorder (top1-bottom1)+2*frmBorder];

uicontrol( ...

'Style','frame', ...

'Units','normalized', ...

'Position',frmPos1, ...

'BackgroundColor',[0.5 0.5 0.5]);

%---Then the text label----------------------------------------

labelPos1=[left1 top1-labelHt1 (right1-left1) labelHt1];

uicontrol( ...

'Style','text', ...

'Units','normalized', ...

'Position',labelPos1, ...

'BackgroundColor',[0.5 0.5 0.5], ...

'ForegroundColor',[1 1 1], ...

'String','Comment Window');

%---Then the editable text field-------------------------------

txtPos1=[left1 bottom1 (right1-left1) top1-bottom1-labelHt1-spacing1];

txtHndl=uicontrol( ...

'Style','edit', ...

'Units','normalized', ...

'Max',10, ...

'BackgroundColor',[1 1 1], ...

'Position',txtPos1, ...

'Callback','dedemov(''eval'')', ...

'String',promptStr);

%---Save the text handle for future use------------------------

set(gcf,'UserData',txtHndl)

%==============================================================

%---Information for all buttons (and menus)--------------------

labelColor=[0.8 0.8 0.8];

yInitPos=0.90;

menutop=0.95;

btnTop = 0.6;

top=0.75;

left=0.785;

btnWid=0.175;

btnHt=0.06;

textHeight = 0.05;

textWidth = 0.06;

%---Spacing between the button and the next command's label

spacing=0.019;

%---The CONSOLE frame------------------------------------------

frmBorder=0.019; frmBottom=0.04;

frmHeight = 0.92; frmWidth = btnWid;

yPos=frmBottom-frmBorder;

frmPos=[left-frmBorder yPos frmWidth+2*frmBorder frmHeight+2*frmBorder];

h=uicontrol( ...

'Style','frame', ...

'Units','normalized', ...

'Position',frmPos, ...

'BackgroundColor',[0.5 0.5 0.5]);

%===Define the individual selection items======================

%---The DE strategy Selection Menu-----------------------------

btnNumber=1;

yPos=menutop-(btnNumber-1)*(btnHt+spacing);

btnPos=[left yPos-btnHt btnWid btnHt];

labelStr='rand/1|best/1|best/2|rtb/1|rand/2';

callbackStr='dedemov(''changemethod'');';

MethodHndl=uicontrol( ...

'Style','popupmenu', ...

'Units','normalized', ...

'Position',btnPos, ...

'String',labelStr, ...

'Interruptible','yes', ...

'Callback',callbackStr);

%---Size of Population NP--------------------------------------

btnNumber=1;

yPos=menutop-(btnNumber-1)*(btnHt+spacing);

top = yPos - btnHt - spacing;

labelWidth = frmWidth-textWidth-.01;

labelBottom=top-textHeight;

labelLeft = left;

labelPos = [labelLeft labelBottom labelWidth textHeight];

h = uicontrol( ...

'Style','text', ...

'Units','normalized', ...

'Position',labelPos, ...

'Horiz','left', ...

'String','NP', ...

'Interruptible','no', ...

'BackgroundColor',[0.5 0.5 0.5], ...

'ForegroundColor','white');

%---Weighting factor F-----------------------------------------

btnNumber=2;

yPos=menutop-(btnNumber-1)*(btnHt+spacing);

top = yPos - btnHt - spacing;

labelWidth = frmWidth-textWidth-.01;

labelBottom=top-textHeight;

labelLeft = left;

labelPos = [labelLeft labelBottom labelWidth textHeight];

h = uicontrol( ...

'Style','text', ...

'Units','normalized', ...

'Position',labelPos, ...

'Horiz','left', ...

'String','F', ...

'Interruptible','no', ...

'BackgroundColor',[0.5 0.5 0.5], ...

'ForegroundColor','white');

%---Crossover probability CR-----------------------------------

btnNumber=3;

yPos=menutop-(btnNumber-1)*(btnHt+spacing);

top = yPos - btnHt - spacing;

labelWidth = frmWidth-textWidth-.01;

labelBottom=top-textHeight;

labelLeft = left;

labelPos = [labelLeft labelBottom labelWidth textHeight];

h = uicontrol( ...

'Style','text', ...

'Units','normalized', ...

'Position',labelPos, ...

'Horiz','left', ...

'String','CR', ...

'Interruptible','no', ...

'BackgroundColor',[0.5 0.5 0.5], ...

'ForegroundColor','white');

%---Maximum number of iterations itermax------------------------

btnNumber=4;

yPos=menutop-(btnNumber-1)*(btnHt+spacing);

top = yPos - btnHt - spacing;

labelWidth = frmWidth-textWidth-.01;

labelBottom=top-textHeight;

labelLeft = left;

labelPos = [labelLeft labelBottom labelWidth textHeight];

h = uicontrol( ...

'Style','text', ...

'Units','normalized', ...

'Position',labelPos, ...

'Horiz','left', ...

'String','itermax', ...

'Interruptible','no', ...

'BackgroundColor',[0.5 0.5 0.5], ...

'ForegroundColor','white');

%---Text field---------------------------------------------------

textPos = [labelLeft+labelWidth-.015 labelBottom textWidth+.025 7*.85*textHeight];

callbackStr = 'dedemov(''setContr'')';

%---Enter the default values-------------------------------------

str = sprintf('15\n\n0.9\n\n0.9\n\n200');

mat = [15; 0.9; 0.9; 200]; % default values

CvarsHndl = uicontrol( ...

'Style','edit', ...

'Units','normalized', ...

'Position',textPos, ...

'Max',2, ... % makes this a multiline edit object

'Horiz','right', ...

'Background','white', ...

'Foreground','black', ...

'String',str,'Userdata',mat, ...

'callback',callbackStr);

剩余27页未读，继续阅读

评论收藏

内容反馈

1.该资源内容由用户上传，如若侵权请联系客服进行举报
2.虚拟产品一经售出概不退款（资源遇到问题，请及时私信上传者）

版权申诉

资源评论

资源反馈

评论星级较低，若资源使用遇到问题可联系上传者，3个工作日内问题未解决可申请退款~

苦茶子12138

粉丝: 1w+
资源: 6万+

上传资源快速赚钱

我的内容管理展开

我的资源快来上传第一个资源

我的收益

登录查看自己的收益

我的积分登录查看自己的积分

我的C币登录后查看C币余额

我的收藏

我的下载

下载帮助

前往需求广场，查看用户热搜

matlab的差分算法实现以及粒子群优化算法介绍.docx

matlab的差分算法实现以及粒子群优化算法介绍

matlab的差分算法实现以及粒子群优化算法介绍.rar

一种融合优化选择策略的差分粒子群算法.docx

差分搜索算法：一种现代化的粒子群优化算法：DSA 是一种现代化的粒子群优化算法。-matlab开发

Matlab 智能优化算法 （粒子群算法、模拟退火算法、差分进化算法、蚁群算法） 附matlab源代码

粒子群优化算法综述.docx

粒子群优化算法PSO介绍中英文翻译word版.docx

混沌粒子群优化算法.docx

改进粒子群算法在无功优化中的应用.docx

【数据聚类】基于粒子群、遗传和差分算法实现数据聚类附matlab代码.zip

运用差分进化算法实现一维线阵方向图优化_包含了带有单纯形算法局部搜索的混合算法程序_matlab

基于差分进化算法优化ANN网络实现数据回归预测附matlab代码

【预测模型】基于差分进化算法优化BP神经网络实现数据预测matlab源码.zip

【图像分割】基于差分进化算法优化模糊熵实现多级图像阈值分割附matlab代码.zip

遗传算法优化相关MATLAB算法实现.docx

粒子群优化算法在函数极值问题中的求解过程动态模拟与实现.docx

[算法]基本粒子群优化算法Matlab源程序.docx

使用改进粒子群优化算法的FIR数字滤波器设计.docx

多目标粒子群优化算法的研究.docx

【WSN布局】基于差分进化策略结合杂草算法实现WSN节点优化部署matlab源码.md

matlab图像隐藏代码-Steganography--TPVD:在Matlab中实现Triway像素值差分隐写算法。代码未优化，可能还有很多

【SVR预测】基于差分进化算法优化SVR实现数据预测附matlab代码.zip

【回归预测-ANN预测】基于差分进化算法优化ANN网络实现数据回归预测附matlab代码.zip

粒子群算法解决函数优化问题.docx

(完整版)MATLAB典型去雾算法代码...docx

【老生谈算法】运用Matlab实现DES算法.docx

自适应粒子群算法研究及其在多目标优化中应用.docx

最新资源

Matlab 智能优化算法（粒子群算法、模拟退火算法、差分进化算法、蚁群算法）附matlab源代码