What books/tutorials do you recommend for learning Genetic algorithms, or AI in general?
I'd prefer language agnostic.
+8
A:
Best book IMO for AI in general:
Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig
It's language agnostic and also has some things about genetic algorithms.
George B.
2010-02-20 12:24:54
I cannot stress enough how important this book is if you're looking to study Artificial Intelligence. If you're an undergraduate and you read this extensively then you'll save yourself at least a semester of trouble when it comes to covering this at university.
EnderMB
2010-08-13 09:40:13
Great book for Machine Learning (even if it's a bit outdated). I can only recommend it! It also has a chapter about Genetic Algorithms.
George B.
2010-02-21 00:05:13
A:
Andries P. Engelbrecht, Computational Intelligence, An Introduction. 2nd Edition:
You can find more from the original site: http://ci.cs.up.ac.za/
The Elite Gentleman
2010-02-20 12:44:47
+1
A:
I am currently reading this book, Evolutionary Computation. As the cover indicates, it attempts to bring in a unified overview of the field of Evolutionary Computing- speaking under one common umbrella about Evolutionary Strategies, Evolutionary Programming and Genetic Algorithms. So, if you are interested in this field, its a good book to pick up!
Amit
2010-02-22 06:04:25
+1
A:
Best books for Genetic Algorithm (IMHO):
- Genetic Algorithms + Data Structures = Evolution Programs, Michalewicz
- Genetic Algorithms in Search, Optimization, and Machine Learning, Goldberg
macias
2010-02-22 07:39:49
+4
A:
Mitchell's "An Introduction to Genetic Algorithms" is known as a good introductory-level book on genetic algorithms.
As an aside, if you want to become well-known in AI, change your last name to Mitchell. :)
Nate Kohl
2010-02-23 13:24:31
A:
An excellent book on GA/GP/EC/metaheuristics is Sean Luke's essentials of metaheuristics. Well written beautiful layout and available for download. Doesn't get any better than that.
Jelle
2010-08-13 09:37:10
+2
A:
On GAs, best references for me so far:
- Genetic Algorithms in Search, Optimization, and Machine Learning by David E. Goldberg: a classic, still considered as the bible of GAs by many.
- An Introduction to Genetic Algorithms by Melanie Mitchell: more recent than the previous reference and packed with probably more interesting examples.
- A Field Guide to Genetic Programming by Poli, Langdon, McPhee: this is more of a hands on guide and is getting very good reviews.
Also if you're an absolute beginner I'd suggest you to start with the Hello World of Genetics Algorithms. There's nothing like a nice clean example to get started.
JohnIdol
2010-10-12 17:56:49