pyGOURGS - global optimization of n-ary tree representable problems using uniform random global search
pyGOURGS - global optimization of n-ary tree representable problems using uniform random global search - Published in JOSS (2020)
LGP
LGP: A robust Linear Genetic Programming implementation on the JVM using Kotlin. - Published in JOSS (2019)
xcsf
XCSF learning classifier system: rule-based online evolutionary machine learning
eckity
EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
genepro
A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.
cartesian
a lightweight implementation of Cartesian genetic programming with symbolic regression in mind.
APGG - A Modular C++ Framework for Asymmetric Public Goods Games
APGG - A Modular C++ Framework for Asymmetric Public Goods Games - Published in JOSS (2023)
https://github.com/amlalejini/gptp-2018-exploring-evolvable-specificity-with-signalgp
GPTP 2018 Contribution
https://github.com/amlalejini/alife-2020--signalgp-genetic-regulation
Supplemental material associated with ALife 2020 conference submission.
https://github.com/amlalejini/gecco-2019-tag-accessed-memory
Source code and supplemental material for our 2019 GECCO submission, Tag-accessed memory for GP
https://github.com/amlalejini/gecco-2024-phylogeny-informed-subsampling
Repository associated with 2024 GECCO paper submission.