sga-c

所属分类:人工智能/神经网络/深度学习
开发工具:C/C++
文件大小:143KB
下载次数:47
上传日期:2006-03-21 09:53:01
上 传 者ycybom
说明:  David E. Goldberg所写经典遗传算法源码,包含多种经典遗传算法,不可多得的学习资料。
(David E. Goldberg, written in classical genetic algorithm source, covering a wide variety of classical genetic algorithm, a rare learning materials.)

文件列表:
sga-c\sga-c\app.c (2546, 1994-01-27)
sga-c\sga-c\app1.c (2541, 1991-05-14)
sga-c\sga-c\app2.c (4090, 1991-05-14)
sga-c\sga-c\app3.c (2546, 1993-09-03)
sga-c\sga-c\errs (215, 1993-03-15)
sga-c\sga-c\external.h (3034, 1991-11-12)
sga-c\sga-c\generate.c (1245, 1991-05-14)
sga-c\sga-c\initial.c (3775, 1992-11-06)
sga-c\sga-c\main.c (2403, 1991-05-14)
sga-c\sga-c\Makefile (1064, 1991-05-14)
sga-c\sga-c\memory.c (1950, 1993-08-27)
sga-c\sga-c\NOWARRANTY (1255, 1991-05-10)
sga-c\sga-c\operators.c (2203, 1992-06-11)
sga-c\sga-c\random.c (4127, 1994-02-18)
sga-c\sga-c\report.c (2974, 1991-11-12)
sga-c\sga-c\rselect.c (769, 1993-09-14)
sga-c\sga-c\sga-c.aux (1152, 1994-03-03)
sga-c\sga-c\sga-c.bbl (973, 1991-05-14)
sga-c\sga-c\sga-c.bib (1412, 1991-05-10)
sga-c\sga-c\sga-c.dlog (85, 1991-05-30)
sga-c\sga-c\sga-c.dvi (18808, 1994-03-03)
sga-c\sga-c\sga-c.log (2139, 1994-03-03)
sga-c\sga-c\sga-c.ps (98006, 1994-03-03)
sga-c\sga-c\sga-c.tex (14987, 1994-03-03)
sga-c\sga-c\sga.h (3103, 1991-11-12)
sga-c\sga-c\srselect.c (2253, 1991-05-14)
sga-c\sga-c\statistic.c (1169, 1994-01-27)
sga-c\sga-c\tselect.c (1945, 1991-05-14)
sga-c\sga-c\utility.c (2799, 1994-01-27)
sga-c\sga-c (0, 2005-12-09)
sga-c\sga-c.tar.Z (83661, 2005-08-21)
sga-c (0, 2005-12-10)

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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