Open-source implementation of AlphaEvolve

source code from the book Genetic Algorithms with Python by Clinton Sheppard

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]

A 2D/3D visualization of the Traveling Salesman Problem main heuristics

A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm

AI research environment for the game of Snake 🐍 .

Python implementation for TSP using Genetic Algorithms, Simulated Annealing, PSO (Particle Swarm Optimization), Dynamic Programming, Brute Force, Greedy and Divide and Conquer

Evolve complex cellular automata with a genetic algorithm.

EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.

Implementation of Anticipatory Learning Classifiers System (ALCS) in Python

Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)

Knapsack Problem solved using Genetic optimization algorithm

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

Supported highly optimized and flexible genetic algorithm package for python3.8+

A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.

CodeEvolve is an open-source evolutionary coding agent for algorithm discovery and optimization.

Predicting a Stock Price Using a Genetic Algorithm

Metaheuristic(Genetic algorithm, Particle swarm optimization, Cuckoo search, Grey wolf optimizer), Reinforcement Learning with Python

Biologically-Inspired and Machine Learning Algorithms written in Python

implement Genetic Algorithm to recommend a food order according to cuisine preference and budget of the group