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Ask HN: Books about Genetic Algorithms
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.
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https://faculty.cc.gatech.edu/~turk/bio_sim/articles/genetic... 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)
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 ?
Thank you. Initially the former, and maybe later the latter.
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
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?
ISI Kolkata has a lot of research on it - you can go through the phd monologues maybe.
I'd recommend going back to first principles for both and learning biology.
And I get that this is yes not a book ... But a whole bunch of books... But there is a lot to learn from biology in this case
https://link.springer.com/book/10.1007/978-3-662-44874-8 (2015)