🚀 go-pugleaf

Two tutorial books are available, both quite good:

Goldberg, David E.  GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION AND MACHINE
LEARNING, 1989, Addison-Wesley (a second edition is due 'soon').  Gives a 
thorough grounding in both GA for function optimization and for learning
systems ('classifier systems').  Code developed in Pascal.  Theory is 
given equal time, and presented lucidly.

Koza, John.  GENETIC PROGRAMMING: ON THE PROGRAMMING OF COMPUTERS BY
   MEANS OF NATURAL SELECTION, 1992, MIT Press, 840 pages.  270 Illustrations.  ISBN 0-262-11170-5.  A videotape is available to accompany this.  Koza
reviews GA results relevent to his theme of GP, in a fresh, intuitively
appealing discussion, including current literature.  The bulk of the
book is about 20 fully described examples of the use of GP to solve
problems from many disciplines: lizard foraging to logic circuits.  
LISP code is included as an appendix for reader experiments.

A book with a primarily pragmatic intent is 
Davis, Lawrence (Ed.), HANDBOOK OF GENETIC ALGORITHMS, 1991, Van Nostrand.

There's an excellent moderated digest, GADISTR, available by 
subscription request to GA-List-Request@AIC.NRL.NAVY.MIL


Since you're apparently at NASA-Ames, I'd recommend a visit to the
Stanford Bookstore - the downtown branch, and perhaps the campus 
branch, have these in stock usually.  

Enjoy - Ron


R. Goldthwaite, Psychology and Animal behavior     Career trajectory: from
Dept. Psychology, U.California			Artifical Intelligence (AI),
Davis, CA 95616           (916) 752 5655/1880	to Natural Stupidity (NS).
rogoldthwaite@ucdavis.edu

-- 
R. Goldthwaite, Psychology and Animal behavior     Career trajectory: from
Dept. Psychology, U.California			Artifical Intelligence (AI),
Davis, CA 95616           (916) 752 5655/1880	to Natural Stupidity (NS).
rogoldthwaite@ucdavis.edu