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求解tsp的改进遗传算法matlab源码-吸血鬼
求解tsp的改进遗传算法matlab源码(Improved Genetic Algorithms Matlab FOSS)
- 2005-03-30 07:04:59下载
- 积分：1
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Kalman_Filter
基于Matlab编写的卡尔曼滤波器，对直线运动的小车位置进行跟踪(Kalman Filter implemented using Matlab)
- 2011-12-01 10:29:56下载
- 积分：1
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Yzn5
simulation about DZ5 transformer in matlab
- 2012-01-09 04:02:26下载
- 积分：1
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MissingFormatWidthException
Missing Format Width Exception extends Illegal Format Exception.
- 2014-02-19 10:53:09下载
- 积分：1
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matlab
unknown,it is test matlab file with some error
- 2010-06-19 18:43:16下载
- 积分：1
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Reboundball
反弹的小球程序主要用于模拟小球碰撞后产生反弹的情况。(Rebound ball program mainly used to simulate the small-ball collision resulting from a rebound situation.)
- 2010-02-11 20:01:45下载
- 积分：1
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EllipseDirectFit
ellipse fitting, very good algorithm, works very well.
- 2010-03-17 20:33:34下载
- 积分：1
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NSF
This a plat for for computing NSF index in quality management of water quality.
- 2010-05-27 13:57:15下载
- 积分：1
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original
When doing optimization, GA algorithm was initially selected, but the instability of the GA (or local optimization) is really frustrating, before and after the resulting difference can at times reach more than 30 , at that time due to time reasons, I chose to optimize 1000 times, then the minimum value of the most optimal solution. Although the problems are solved, but an academic, this style of running is pretty embarrassing. So, I downloaded a GA-PSO algorithm, try using the combination of GA and PSO optimizing strategies, results algorithm issues, efficiency and good. I downloaded the original algorithm, there is a problem is that it is aimed at all upper and lower limits of the design variables are the same, so I modified the program and improvements, you can now deal with upper and lower limits of the inconsistency problem and fix the bug. Now, program modifications, and share, hoping to be useful to you
- 2014-12-15 14:46:46下载
- 积分：1
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1234435
用matlab 7.0编写的滑模变结构仿真的例子。(S-function for continuous state equation
function [sys,x0,str,ts]=s_function(t,x,u,flag)
switch flag,
Initialization
case 0,
[sys,x0,str,ts]=mdlInitializeSizes
Outputs
case 3,
sys=mdlOutputs(t,x,u)
Unhandled flags
case {2, 4, 9 }
sys = []
Unexpected flags
otherwise
error([ Unhandled flag = ,num2str(flag)])
end
mdlInitializeSizes
function [sys,x0,str,ts]=mdlInitializeSizes
sizes = simsizes
sizes.NumContStates = 0
sizes.NumDiscStates = 0
sizes.NumOutputs = 3
sizes.NumInputs = 1
sizes.DirFeedthrough = 1
sizes.NumSampleTimes = 0
sys=simsizes(sizes)
x0=[]
str=[]
ts=[]
function sys=mdlOutputs(t,x,u)
x11d=sin(pi*t/2)
x21d=cos(pi*t)
x31d=1
sys(1)=x11d
sys(2)=x21d
sys(3)=x31d
)
- 2012-10-19 11:43:12下载
- 积分：1
