sga-c
所属分类:人工智能/神经网络/深度学习
开发工具:Windows_Unix
文件大小:61KB
下载次数:1
上传日期:2009-05-02 12:17:32
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syahfith1
说明: GENETIC ALGORITHM BOOKS
文件列表:
sga-c\app.c (2546, 1994-01-26)
sga-c\app1.c (2541, 1991-05-14)
sga-c\app2.c (4090, 1991-05-14)
sga-c\app3.c (2546, 1993-09-03)
sga-c\errs (215, 1993-03-15)
sga-c\external.h (3034, 1991-11-12)
sga-c\generate.c (1245, 1991-05-14)
sga-c\initial.c (3775, 1992-11-05)
sga-c\main.c (2403, 1991-05-14)
sga-c\Makefile (1064, 1991-05-14)
sga-c\memory.c (1950, 1993-08-26)
sga-c\NOWARRANTY (1255, 1991-05-09)
sga-c\operators.c (2203, 1992-06-10)
sga-c\random.c (4127, 1994-02-18)
sga-c\report.c (2974, 1991-11-12)
sga-c\rselect.c (769, 1993-09-14)
sga-c\sga-c.aux (1152, 1994-03-02)
sga-c\sga-c.bbl (973, 1991-05-14)
sga-c\sga-c.bib (1412, 1991-05-09)
sga-c\sga-c.dlog (85, 1991-05-29)
sga-c\sga-c.dvi (18808, 1994-03-02)
sga-c\sga-c.log (2139, 1994-03-02)
sga-c\sga-c.ps (98006, 1994-03-02)
sga-c\sga-c.tex (14987, 1994-03-02)
sga-c\sga.h (3103, 1991-11-12)
sga-c\srselect.c (2253, 1991-05-14)
sga-c\statistic.c (1169, 1994-01-26)
sga-c\tselect.c (1945, 1991-05-14)
sga-c\utility.c (2799, 1994-01-26)
sga-c (0, 2009-05-03)
SGA-C: A C-language Implementation
of a Simple Genetic Algorithm
Robert E. Smith
The University of Alabama
David E. Goldberg
The University of Illinois
and
Jeff A. Earickson
Alabama Supercomputer Network
TCGA Report No. 91002
The Clearinghouse for Genetic Algorithms
The University of Alabama
Department of Engineering Mechanics
Tuscaloosa, AL 35487
SGA-C is a C-language translation and extension of the original
Pascal SGA code presented in Goldberg's text (Goldberg, 1***9).
It has some additional features, but its operation is
essentially the same as that of the original, Pascal version.
A technical report (in PostScript file sga-c.ps)
is included as a concise introduction
to the SGA-C distribution. It is presented with the assumptions that
the reader has a general understanding of Goldberg's original Pascal SGA
code, and a good working knowledge of the C programming language.
The report begins with an outline of the files included in the SGA-C
distribution, and the routines they contain.
The outline is followed by a discussion of significant features of SGA-C
that differ from those of the Pascal version.
The report concludes with a discussion of routines that must be altered to
implement one's own application in SGA-C.
The authors are interested in the comments, criticisms, and bug reports
from SGA-C users, so that the code can be refined for easier use in
subsequent versions. Please email your comments to
rob@comec4.mh.ua.edu, or write to TCGA:
The Clearinghouse for Genetic Algorithms
The University of Alabama
Department of Engineering Mechanics
P.O. Box 870278
Tuscaloosa, Alabama 35487
References:
Goldberg, D.E. (1***9). Genetic algorithms in search, optimization, and
machine learning. Reading, MA: Addison-Wesley.
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