🚀 go-pugleaf

In article <JET.93Jan11144017@boxer.nas.nasa.gov> jet@boxer.nas.nasa.gov (J. Eric Townsend) writes:
>
>Anybody have a suggestion for a good introductory paper or book?  I've
>seen a few interesting papers, but they assume one is already *very*
>familiar with the thy and terminology involved.
>
I highly recommend _Handbook_of_Genetic_Algorithms_ Davis, L. (ed)
Van Nostrand Reinhold 1991.

It starts with a tutorial introduction and covers a range
of GAs inc order based GAs. It also has a number of interesting
papers.

Also worth reading is the article on GAs in the Sept 93
 _Scientific_American_.

--Kate

-- 
Kate Juliff                           | kcj@matilda.vut.edu.au
Victoria University                   |
P.O. BOX 14428,                       |
MELBOURNE MAIL CENTRE, AUSTRALIA 3000 |

I seem to recall that Larry Davis has also done a series of
lecture/movies.  I don't remember who publishes them, but I
remember they had a booth at AAAI and were also selling a
bunch of tapes on fuzzy systems.  If you have enough $s
then they may be a good way to get into the field.  I think
they may be a little pricey (for the normal human) but are
likely to be very cheap relative to the man hours spent
figuring out how to learn about GAs.

Of course (yawn), JK's book is the right intro to GP, but it
sounds like you're more interested in straight GAs.

Goldberg's book is probably worth looking at.  I don't remember
whether it has been mentioned.

  Genetic Algorithms in Search, Optimisation and Machine Learning
  Goldberg, David E. 1989, Addison-Wesley.

I haven't read Holand's book, but I gather that it is absolutely
NOT the right place to start.


Rice.

In article <1ita97INN5n5@manuel.anu.edu.au> kcj@vulcan.anu.edu.au (Kate Juliff) writes:
>In article <JET.93Jan11144017@boxer.nas.nasa.gov> jet@boxer.nas.nasa.gov (J. Eric Townsend) writes:
>>
>>Anybody have a suggestion for a good introductory paper or book?  I've
	[DELETIONS]
>Also worth reading is the article on GAs in the Sept 93
> _Scientific_American_.                         
                                                 ^^^^^^^
						This, of course, was
the highly-regarded issue on "NON-CAUSAL PHENOMENA." :-)


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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