Genetic algorithm resource [closed]

Question

Lately I'm interested in the topic of genetic algorithms, but I couldn't find any good resource. If you know any good resource, book or a site I would appreciate it. I have solid knowledge of algorithms and Artificial Intelligence but I'm looking for something with good introduction in Genetic Programming.

Answer 1

I found Melanie Mitchell's book, An Introduction to Genetic Algorithms, to be very good. For a wider coverage of evolutionary computation topics, Introduction to Evolutionary Computing by Eiben and Smith is also worthwhile.

If you're just starting out, I recently wrote an introductory article that may be of use.

There are further links both in that article and also on the home page for my evolutionary computation framework.

Answer 2

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.

Answer 3

There is a great introduction to genetic algorithms at AI-Junkie.com as well as tutorials on many other AI and machine learning techniques. The genetic algorithms tutorial is aimed to 'explain genetic algorithms sufficiently for you to be able to use them in your own projects' while keeping the mathematics down as much as possible.

Answer 4

A short introduction I wrote a long time ago is available here, but a better short introduction is here.

For a larger and comprehensive, although somewhat out-dated, list of resources visit the comp.ai.genetic FAQ.

Answer 5

Clever Algorithms: Nature-Inspired Programming Recipes

by Jason Brownlee PhD.

This book is available free in PDF. Book covers large amount of nature-inspired algorithms, including evolutionary, swarm and neural algorithms.

Answer 6

The book Programming Collective Intelligence by OReilly had chapter covering genetic algorithms. It might be a little bit to basic but it was a very illustrating example.