Showing 7 of 7 projects
A Python library for heuristic optimization algorithms including Genetic Algorithm, PSO, Simulated Annealing, and Ant Colony Optimization.
A Python framework for gradient-free optimization, featuring common algorithms like genetic algorithms and simulated annealing.
A Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms.
A JAX + Flax implementation of physics-inspired graph neural networks for solving combinatorial optimization problems like Max-Cut and Maximum Independent Set.
A configurable constraint solver written in Elixir, supporting multiple strategies including simulated annealing for weighted CSPs.
A metaheuristic optimization framework for solving complex combinatorial problems like N-queens and protein folding.
A decentralized sports league scheduler that solves the Travelling Tournament Problem using Golem's computational network.
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