29 Open source projects that are alternatives of or similar to metaheuristic-training-networks

Vita - Genetic Programming Framework

Derivative-Free Optimization Method for Global Optimization (C++)

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

A Solver for the Wavelength Assignment Problem (RWA) in WDM networks

Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.

High-performance metaheuristics for optimization coded purely in Julia.

Supported highly optimized and flexible genetic algorithm package for python

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).

An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

💤🖌️ AI making tiny Bitsy video games. Features an experimental generative structure inspired by GANs and Genetic Algorithms

Scala API for jenetics

TensorFlow implementation of CNN fast neural style transfer ⚡️ 🎨 🌌

🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.

Differential evolution global optimization in Python.

A C++ library of Markov Chain Monte Carlo (MCMC) methods

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

Double Sided Assembly Line Balancing with Genetic Algorithm (C#)

Twitter Genetic Algorithm Imagery

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

Solving VRPTW with metaheuristics

ALNS header-only library (loosely) based on the original implementation by Stefan Ropke.

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

Evolutionary algorithms library for the web 🧬

Artificial Bee Colony Algorithm in Python.

pymhlib - A Toolbox for Metaheuristics and Hybrid Optimization Methods

An R package for multi/many-objective optimization with non-dominated genetic algorithms' family

A metaheuristic optimization framework

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.