AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
A research toolkit for particle swarm optimization in Python
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
🎯 A comprehensive gradient-free optimization framework written in Python
A framework for single/multi-objective optimization with metaheuristics
jMetal: a framework for multi-objective optimization with metaheuristics
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
A MSc's Dissertation Project which focuses on Vehicle Routing Problem with Time Windows (VRPTW), using both exact method and heuristic approach (General Variable Neighbourhood Search)
It takes a village to raise a child: Google DeepThink 🧠 but in LangGraph and free - an original algorithm for collaborative agents using qualitative backpropagation. Turn hours of prompting into a single high level prompt and let a QNN figure system prompts on the fly.
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Artificial Bee Colony Algorithm in Python.
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
Solving VRPTW with metaheuristics
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