readme.txt

wang xiao ping 版遗传算法

	
        	         Tree Structured Genetic Algorithm
			An algorithm for Genetic Programming

          
                	      Ben.McKay & Mark Willis

               	              	    (c) 1995

 	                  Dept. of Chemical Engineering               
 	                      University of Sydney

 	                              &

  	          Dept. of Chemical and Process Engineering
   	             University of Newcastle-Upon-Tyne

   	    This package may not be modified, reproduced or sold
   	           without the permission of the authors.

All correspondence to:

Dr Mark Willis

Department of Chemical and Process Engineering
The University of Newcastle Upon Tyne
Newcastle Upon Tyne, NE1 7RU
UK

Tel: [phone]
fax: [phone]
e-Mail: mark.willis.ncl.ac.uk

http://lorien.ncl.ac.uk/gp
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Instructions:

1. In Matlab run the file ga_init.

2. Load data from file.

File 'test.dat' contains data consisting of one hundred samples of five randomly
generated input variables (u1,...,u5) within the range [0 1], and one output
variable (y) generated using the following relationship: 

		    y = 1000*u1*exp(-5/u2) + 3*u3


3. Choose input output variable.

Variable 1  corresponds to the output, y.

Variables 2-6 correspond to inputs, u1,...,u5.

4. Initialise GA

Warning: the algorithm can be slow!