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Resolve TSP (Traveling Saleman Problem) in Genetic Algorithm | Zhanggw's Blog
https://zhanggw.wordpress.com/2009/11/07/resolve-tsp-traveling-saleman-problem-in-genetic-algorithm
Skip to primary content. Resolve TSP (Traveling Saleman Problem) in Genetic Algorithm. November 7, 2009. A random route can be shown like this,. After iteration,the result can be like this. Method of generation routines is got from here:. Http:/ www.psychicorigami.com/2007/04/17/tackling-the-travelling-salesman-problem-part-one/. Created on 2009-10-29 @author: Administrator ' ' import. Random from math import. PIL SUPPORT = None try: from PIL import. The plot was saved into the %s file. Cities random(cit...
zgw21cnn | Zhanggw's Blog
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Skip to primary content. Skip to secondary content. Stepwise logistic regression using R. October 3, 2010. Consider a clinical data set. You can download it from Here. The Diabetes data set consists nine variables. The variable Class is the response variable with a value of tested positive and a value of tested negative. The other eight variables are the explanatory variables. 8220;d:/diabetes.csv”. 8220;tested positive”. Set explantory variable’s name. The logistic regression R code is as follows. Test ...
A Simple Genetic Programming in Python | Zhanggw's Blog
https://zhanggw.wordpress.com/2009/11/08/a-simple-genetic-programming-in-python-4
Skip to primary content. A Simple Genetic Programming in Python. November 8, 2009. You can download a free guide to genetic programming here. http:/ www.gp-field-guide.org.uk/. This example aims to reconstruct a simple mathematic function,which can been refined in. Def examplefun(x, y). Nodes in a tree can be classified to three kinds:function,variable and constant, so I have built three wrappers:. The code is as follows. Created on 2009-10-30 @author: Administrator ' ' from random import. Selfvariable&#...
Optimization Schaffer F6 function using basic genetic algorithm | Zhanggw's Blog
https://zhanggw.wordpress.com/2010/09/25/optimization-schaffer-f6-function-using-basic-genetic-algorithm-2
Skip to primary content. Optimization Schaffer F6 function using basic genetic algorithm. September 25, 2010. Schaffer F6 function, as well and its graph,is pictured here. If set y=0,you can get a 2D graph. These figures illustrate the fact that the Schaffer F6 function has many local optimizations. The basic genetic algorithm is as follows.The matplotlib is included for plot the function graph. Random from math import. Sin, sqrt, pow from mpl toolkits.mplot3d import. Axes3D from matplotlib import. Evalu...
Plot correlation matrices in SAS | Zhanggw's Blog
https://zhanggw.wordpress.com/2010/05/27/plot-correlation-matrices-in-sas
Skip to primary content. Plot correlation matrices in SAS. May 27, 2010. I have developed a simple SAS program to show representations of correlation matrices. A paper which introduces a set of techniques that depicts the value of a correlation can be found in Corrgrams (Corrgrams: Exploratory displays for correlation matrices，Friendly,2002). SAS program is as follows. Macro plotgraph(corrdata);. Data corrmatrix(drop= TYPE NAME );. 160; set &corrdata(firstobs=4);. Proc sql noprint;. 160;  ...
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Zhanggw's Blog | Thinking,Reading,Writing
Skip to primary content. Skip to secondary content. Stepwise logistic regression using R. October 3, 2010. Consider a clinical data set. You can download it from Here. The Diabetes data set consists nine variables. The variable Class is the response variable with a value of tested positive and a value of tested negative. The other eight variables are the explanatory variables. 8220;d:/diabetes.csv”. 8220;tested positive”. Set explantory variable’s name. The logistic regression R code is as follows. Test ...
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