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://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)
ISI Kolkata has a lot of research on it - you can go through the phd monologues maybe.
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://link.springer.com/book/10.1007/978-3-662-44874-8
(2015)
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