One of the greatest strengths of OCaml is in data structure manipulation, which is essentially what makes up a genetic programming framework. Thus OCaml is an excellent choice for such an endevor.
The goal of OGPF is to create a modular framework for building genetic programming systems in OCaml. It is additionally an experiment in modular framework design, making heavy use of Functors. OGPF seeks to be a clean, elegant, and efficient solution to the question "How do I do genetic programming in OCaml?"
If you are interested in using OGPF please email me and I'll help you get started. The more people who use the system and contribute components the easier everything will get.
The framework itself is now functional, but to be useful to others I must still implement some common components. For example, I am now implementing Koza-lisp style genotype (just simple functions and terminals) in a couple different ways; I need to implement a Koza-style population management scheme, and using these reproduce some Koza-style problems (straight from the Genetic Programming books, probably). There are still some modularity issues.
Other things that this thing needs (long-term stuff):
2019-11-28
# Slow pretty hello while true ; do echo -en "\u001b[$((RANDOM % 8 + 30))mHello"; read -t 0.01 3<&- 3<&0 <&3 ; done
echo -en "\ec"; echo 'I AM THE GREAT GENIE! Ask me any yes/no question and I will tell you the truth... if you dare!';echo -en "\nQuestion: ";while read line;do case $((RANDOM % 2)) in 0) echo 'YES!' ;; 1) echo 'NO!' ;; esac ; echo -en "\n\nQuestion: ";done
# Yellow echo -en "\u001b[33m"
# Random number 0..9 echo $((RANDOM % 10))
# Random color echo -en "\u001b[$((RANDOM % 8 + 30))m"
2018-07-02
@julka hi!
2018-06-30
Greetings to the mastodon world!
2019-12-11
2019-10-17
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