There are 11 repositories under evolutionary-computation topic.
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
A bare-bones Python library for quality diversity optimization.
Return Oriented Programme Evolution with ROPER
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
Programmatic modification and evaluation of software
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
talk-generator is capable of generating coherent slide decks based on a single topic suggestion.
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
Tiny Genetic Programming in Python
A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf
Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
Yarpiz Evolutionary Algorithms Toolbox for MATLAB
A pure-Swift genetic algorithm library built for composition and extensibility.
An evolutionary computation framework
Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now (from 2023 to 2027).
Symbolic Generators for Complex Networks
HeuristicLab - An environment for heuristic and evolutionary optimization
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.