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Amazon returns many results, so I'm wondering if anybody has a personal suggestion. Looking for something that'll give me both a good theoretical understanding and enough practical advice/examples to help me write an actual program.
He's looking for info on Genetic Algorithms... I don't think reading through Design Patterns or Knuth's stuff (pretty heavy) are the right places to start.
Martin, I don't really know of a particular book for genetic algos, but I'd suggest any highly ranked machine learning text or something that has rated well on Amazon that has a lot of reviews.
That AI book looks pretty good, but I'm looking at its table of contents and one of the chapters and they don't even mention GA, so it might not be exactly what I'm looking for.
Koza, et al. Genetic Programming ___. There's a whole slew of these books. The ones on the shelf here are "Genetic Programming III: Darwinian Invention and Problem Solving" and "Genetic Programming IV: Routine Human-competitive Machine Intelligence"
That's a good framework for you to do your stuff on. It's always good for you to write at least a simple GA program before you go ahead and use jgap. But if you want to do any in-depth research with GA you might want to use JGAP to do all the "dirty" work -- you would only need to write the fitness function.
Genetic Algorithms were fascinating. I book I used was "Genetic Algorithms in Search, Optimization, and Machine Learning" by Goldberg. It was probably over 10 years ago so maybe there are better books out there now.
Which I thought the author explains pretty well, especially in how to apply them. He also has quite a good reference section of AI-type algorithims in the back of the book.
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