AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
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Updated
Jun 10, 2024 - Java
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
🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
🎯 A comprehensive gradient-free optimization framework written in Python
jMetal: a framework for multi-objective optimization with metaheuristics
A framework for single/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.
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark 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 Method (C++, Python binding)
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)
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
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