There are 13 repositories under evolutionary-computation topic.
Open-source implementation of AlphaEvolve
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
A bare-bones Python library for quality diversity optimization.
Programmatic modification and evaluation of software
A GPU-accelerated library for Tree-based Genetic Programming, leveraging PyTorch and custom CUDA kernels for high-performance evolutionary computation. It supports symbolic regression, classification, and policy optimization with advanced features like multi-output trees and benchmark tools.
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
Return Oriented Programme Evolution with ROPER
EvoMO is a GPU-accelerated library for evolutionary multiobjective optimization (EMO)
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.
Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.
Transforming Neural Architecture Search (NAS) into multi-objective optimization problems. A benchmark suite for testing evolutionary algorithms in deep learning.
talk-generator is capable of generating coherent slide decks based on a single topic suggestion.
Tiny Genetic Programming in Python.
EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
Ebiose is a distributed, Darwin-style playground where AI architect agents design, test, and improve other agents.
A collection of MetaBBO papers and code sources
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
A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms
Solve multi-objective optimization problems with distributed evolutionary algorithms
An evolutionary computation framework for Ruby
Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
Evolutionary Computation: A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: from 2023 to 2027).
Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)
This course covers the applied side of algorithmics in machine learning, with some deep learning and evolutionary algorithms thrown in as well.
Evolutionary Neural Architecture Search on Transformers for RUL Prediction