AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.
#算法刷题#A research toolkit for particle swarm optimization in Python
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
#计算机科学#🍀 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.
#计算机科学#Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
#算法刷题#🎯 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.
#计算机科学#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.
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)
Derivative-Free Global Optimization Algorithm (C++, Python binding) - Continuous, Discrete, TSP, NLS, MINLP
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
#算法刷题#An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
OptFrame - C++17/C++20/C++23 Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Loc...