Create and manage an evolutionary algorithm that runs the NSGA-II multiobjective search algorithm (bit redundant). This is a WIN module.
AI-powered self-learning optimization system with swarm intelligence, PSO, NSGA-II, evolutionary algorithms for autonomous robotics, multi-agent systems, and continuous learning
NeuroEvolution of Augmenting Topologies (NEAT) implemented in Javascript (with tests done in Mocha for verification). Can be used as a node module or in a browser
win-iec =======
Node.js wrapper around a C++ IESoR simulation. Indirectly Encoded SodaRace (IESoR) is a research domain for simulating Sodarace inspired two-dimensional ambulating creatures.
Multi-objective genetic optimization algorithm NSGA-II
A practical Rust toolkit for heuristic single-, multi-, and many-objective optimization.
Fast blackbox optimisation tool.
Library for solving genetic algorithm problems
Optimization module for SciRS2 (scirs2-optimize)
Black-box optimization with TPE, CMA-ES, MORBO, NSGA-II/III, and more
Evolutionary computation in Rust — genetic algorithms, differential evolution, NSGA-II multi-objective, genetic programming
Solving multi-objective optimization problems using genetic algorithms.
Geometric optimization algorithms leveraging Amari's Tropical-Dual-Clifford fusion
Genetic algorithms
Optimization for Numra: BFGS, L-BFGS, L-BFGS-B, Levenberg-Marquardt, Nelder-Mead, CMA-ES, SQP, LP/MILP, augmented Lagrangian, NSGA-II.
Bayesian and population-based optimization library with an Optuna-like API for hyperparameter tuning and black-box optimization