GENETIC
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：67KB
下载次数：69
上传日期：2008-04-16 09:54:08
上 传 者：
saheya
说明： 遗传算法的matlab程序集（内有很多问题的具体解决程序）
(Matlab genetic algorithm procedure set (there are many problems to solve specific procedures))
文件列表:
GENETIC\CLSQ.MEX (25188, 1996-02-19)
GENETIC\DAGEN.M (204, 1996-04-19)
GENETIC\DA_FRONT.M (15140, 1996-09-13)
GENETIC\DECOMP.M (5398, 1996-11-08)
GENETIC\DISP_RES.M (1256, 1996-11-08)
GENETIC\E.M (113, 1996-11-08)
GENETIC\EQU_GEN2.M (3257, 1996-11-08)
GENETIC\EQU_GEN3.M (4527, 1996-11-08)
GENETIC\FIT_FUN2.M (1904, 1996-11-08)
GENETIC\FPS.M (252, 1996-11-08)
GENETIC\GA.BMP (481078, 1996-11-08)
GENETIC\GA_INI.M (3009, 1996-11-08)
GENETIC\GA_INI.NN (6470, 1996-11-08)
GENETIC\GA_INI.STD (5307, 1996-11-08)
GENETIC\GA_INIT.M (2969, 2000-03-10)
GENETIC\GA_INIT2.M (2671, 1996-11-08)
GENETIC\GA_INP.M (678, 1996-11-08)
GENETIC\GA_SELEC.M (4392, 1996-11-08)
GENETIC\GA_TEXT.M (416, 1995-12-15)
GENETIC\GA_VIEW1.M (2698, 1995-12-15)
GENETIC\GOBCK.M (350, 1995-12-15)
GENETIC\GP_PLOT.M (712, 1995-12-15)
GENETIC\L.M (134, 1995-12-15)
GENETIC\LIN_SEED.M (628, 1996-11-08)
GENETIC\LST_SQ.M (11049, 1995-12-15)
GENETIC\LST_SQO.M (10479, 1995-12-15)
GENETIC\MUTATO3.M (17734, 1995-12-15)
GENETIC\N_SIMP2.M (1290, 1996-11-08)
GENETIC\OPTXY.M (87, 1995-12-15)
GENETIC\OPT_LOOP.M (254, 1995-12-15)
GENETIC\OPT_PAR.M (2634, 1996-01-22)
GENETIC\OPT_PLOT.M (854, 1995-12-15)
GENETIC\P.M (128, 1995-12-15)
GENETIC\PCINCL.M (220, 1996-11-08)
GENETIC\PERMUT.M (6616, 1996-11-08)
GENETIC\PROB_GA.M (1273, 1996-02-13)
GENETIC\R.M (54, 1996-11-08)
GENETIC\S.M (53, 1996-11-08)
GENETIC\SAVE_POP.MAT (2145, 1996-11-11)
... ...
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: 0191 222 7242
fax: 0191 222 5292
e-Mail: mark.willis.ncl.ac.uk
http://lorien.ncl.ac.uk/gp
----------------------------------------------------------------------------------
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!
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