I'm a developer. I have a basic working knowledge of classic neural networks. I'd like to learn about genetic algorithms. What books should I be reading? I prefer dead-tree, but pdf suggestions too please.
i have been pouring on my 10% free time into evolutionary algorithms. thinking about the premise of what a transformer alternative with evolutionary algorithms look like.
Would be keen on talking to anyone who has been researching in this area. X: @jharohit
Be aware that genetic algorithms are a type of evolutionary algorithms: Do you actually want to learn about genetic algorithms specifically, or more generally about evolutionary algorithms ?
I've seen recommendations for Genetic Algorithms in Search, Optimization, and Machine Learning by David E Goldberg as a classic/foundation text. However its 35+ years old. Is it still worth reading?
https://en.wikipedia.org/wiki/Holland%27s_schema_theorem
https://en.wikipedia.org/wiki/John_Henry_Holland
Adaptation in Natural and Artificial Systems (1975, MIT Press)
Would be keen on talking to anyone who has been researching in this area. X: @jharohit
(2015)