Genetic programming
by John R. Koza · first published 1992
15mentions
4recommended by
11HN commenters
2008–2023first – last mentioned
36% recommend64% neutral
Affiliate links. As an Amazon Associate I earn from qualifying purchases.
Mentions per year
What Hacker News says
Related books
2014–2023Handbook Of Neuroevolution Through Erlang
Gene I. Sher
Recommended by 5 · mentioned by 95 recommend · 9 mention5 recommend · 95 recommend
2014–2026Introduction to Statistical Learning
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Recommended by 85 · mentioned by 10885 recommend · 108 mention85 recommend · 10885 recommend
2007–2026Effective Java
Joshua Bloch
Recommended by 172 · mentioned by 243172 recommend · 243 mention172 recommend · 243172 recommend
2007–2026Gödel, Escher, Bach
Douglas R. Hofstadter
Recommended by 505 · mentioned by 1,055505 recommend · 1,055 mention505 recommend · 1,055505 recommend
…the vital importance of AST's, and it's how I first "groked" LISP. LISP isn't a pre-requisite to understanding the book, but you'll understand the big concepts by the end. [1] http://www.amazon.com/Genetic-Programming-Computers-Selectio...
on “Creatures – A simple evolution simulator” ↗I bought this book a few years ago, by Koza. It has tons of working code in it-- each problem he steps through building up a solution with a working program: http://www.amazon.com/Genetic-Programming-Computers-Selectio... This is one of my most prized computer books, perhaps the most prized book I have. Even though I wasn't a Lisper when I started reading this book, I ended up building (without…
on “Baby Steps into Genetic Programming” ↗…dense, readable textbook compared to all the fluff written nowadays with too many pictures and repeated explanations. 3. The C Programming Language, 2nd Edition - you know what I am talking about! 4. Genetic Programming (1992)- John Koza - Really got me into early machine learning and more into LISP! 5. The Handbook of Neuroevolution Through Erlang (2013) - Gene Sher - Great intro to ANNs in general, and Erlang even…
on “Ask HN: Name 3-5 books that had the most impact on your career and knowledge?” ↗…with chaos and fractals for a while. Right around that time a whole bunch of similar pop sci books came out and I read a bunch of them. Steven Levy's Artificial Life, a Mondo 2000 collection, John Koza's Genetic Programming, and Cliff Stoll's The Cuckoo's Egg all stand out in my memory.
on “AI Poised to Transform Video Compression Landscape” ↗…Schell. Also Anathem, by Neal Stephenson, is also a very worthwhile mind-broadening scientific read. A New Kind of Science by Wolfram is also quite a bit of fun. But by far my most prized techie book is Genetic Programming, by the legendary John Koza (if you're not a Lisp person like I wasn't when I read this, then you really need to read it!). Braid and all of the books I mentioned have something in common: They are all…
on “Ask HN: Experiences with 'Gödel, Escher, Bach' (GEB)?” ↗…relationships you are looking for and you might be surprised by what cool things you can find. Also a great excuse to learn Common Lisp if you haven't already. A good starting point is John Koza's first book on Genetic Programming.
on “SymPy makes math fun again” ↗…computation back in the 80s. Yes, you did not have the large ANNs you have today, but you also broke down your problem into manageable, computable bits (no pun intended). Working through Koza's book on Genetic Programming in the 90s, or Mark Watson's book on ANNS, chaos theory, and a bunch of other stuff, was very illuminating. I particularly liked the artificial life stuff out of the Santa Fe Institute. I still have a…
on “Paradigms of A.I. Programming: Case Studies in Common Lisp (1991)” ↗…caveat that if they cause a syntax error, they get "feedback damage.") Also, these s-expressions can be subject to genetic algorithms, and will also "breed" in the wild. (As described by Koza in his book Genetic Programming)
on “8-bit Turing complete computer that I made in Factorio (2019)” ↗…Amazon for $0.01 (+ $3.99 shipping), I just buy it. If I still want the book, I check CamelCamelCamel for the 'proper' price to buy it at, and I set an alert. For example, I recently waited for Koza's Genetic Programming to hit $15, then I purchased. [1] http://stackoverflow.com/questions/1017017/what-is-the-best-...
on “Ask HN: How do you choose your technical books?” ↗My surreal moment was reading the Genetic Programming series by John Koza. He discussed a 1000 socket Pentium II cluster which was used for a genetic search. I did some back of the napkin math and realized that was roughly equivalent to my Zen 2 box. So…
on “AMD EPYC 7713 'Milan' Zen 3 CPU Benchmarked” ↗I was recently doing some research into Genetic Programming and found a library (ftp://cs.ucl.ac.uk/genetic/ftp.io.com/code/koza-book-gp-implementation.lisp) through a blog post (http://bc.tech.coop/blog/040619.html) that looks to be useful. After looking over…
on “Ask HN: Using Code after Patent Has Expired” ↗Thanks a lot. I'm starting to get into GP and all the additional resources help. Do you have any suggestions for a book to read after Koza's Genetic Programming?
on “Symbolic Regression using Genetic Programming” ↗…technical book. Refactoring is still $45 new (hardcover but more than 10 years old now), Effective Java is about the same price, TAPL will set you back $60 and ATPL is $56 on Amazon, HTDP is $67, Koza's "Genetic Programming: On the Programming of Computers by Means of Natural Selection" released in 1992 is $67, SICP is $70, amazon asks for a hundred bucks for the purple dragon books, and then of course The Art of Computer…
on “Learn Python The Hard Way Now For Sale” ↗I read Koza's "Genetic Programming: On the Programming of Computers by Means of Natural Selection" back in 1993, and a lot of the holdups were that computers and memory just weren't as good as today to deal with large solution space trials.…
on “Evolutionary algorithm outperforms deep-learning machines at video games” ↗This seems a little similar to Genetic Programming, from John Koza. In my very old McGraw-Hill book (“C++ Power Paradigms”, McGraw-Hill 1994. Genetic Algorithms, Neural Networks, and Constraint Programming), I had an example using a genetic algorithm…
on “Neurosymbolic Programming (2021) [pdf]” ↗