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遗传算法的源程序

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, 1989). 
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 
[e-mail], 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. (1989). Genetic algorithms in search, optimization, and
machine learning. Reading, MA: Addison-Wesley.