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incubator-kie-optaplanner

apache / incubator-kie-optaplanner

Star 3.3k

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

java optimization scheduling solver artificial-intelligence constraints constraint-programming traveling-salesman local-search simulated-annealing constraint-solver tabu-search branch-and-bound metaheuristics rostering employee-rostering mathematical-optimization
  • Updated May 24, 2024
  • Java

Evolutionary-Intelligence / pypop

Star 170

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/

optimization evolutionary-algorithms global-optimization black-box-optimization numerical-optimization nonlinear-optimization random-search optimization-algorithms metaheuristics evolution-strategies continuous-optimization large-scale-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization direct-search population-based-optimization bio-inspired-optimization stochastic-search nature-inspired-optimization
  • Updated May 24, 2024
  • Python
timefold-solver

TimefoldAI / timefold-solver

Star 674

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

python java ai solver artificial-intelligence vehicle-routing-problem vrp constraint-programming constraint-solver operations-research optimization-algorithms resource-allocation cvrp metaheuristics planning-algorithms employee-scheduling vrptw solver-library vehicle-routing maintenance-scheduling
  • Updated May 24, 2024
  • Java

optframe / optframe

Star 65

OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etc.

optimization genetic-algorithm ils genetic-programming vehicle-routing-problem multi-objective-optimization heuristics optimization-tools pareto-front nsga-ii tabu-search optimization-framework metaheuristics travelling-salesman-problem vns best-improvement first-improvement timetabling multi-improvement
  • Updated May 23, 2024
  • C++

thieu1995 / mealpy

Star 780

A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

genetic-algorithm differential-evolution particle-swarm-optimization metaheuristics swarm-intelligence nature-inspired-algorithms supply-chain-optimization whale-optimization harris-hawks-optimization bio-inspired-optimization grey-wolf-optimizer equilibrium-optimizer schedule-optimization production-planning henry-gas-solubility-optimization harris-hawks-optimizationg arithmetic-optimization-algorithm slime-mould-algorithm hunger-games-search location-optimization
  • Updated May 21, 2024
  • Python
Chips-n-Salsa

cicirello / Chips-n-Salsa

Sponsor
Star 52

A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

java optimization genetic-algorithm scheduling parallel-computing multithreading mutation local-search permutations search-algorithm simulated-annealing adaptive hill-climbing evolutionary-computation metaheuristics discrete-optimization stochastic-sampling hbss vbss randomized-heuristics
  • Updated May 17, 2024
  • Java

thomasWeise / moptipy

Star 19

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

python optimization genetic-algorithm evolutionary-algorithms experimentation simulated-annealing hill-climbing evolutionary-computation memetic-algorithms optimization-algorithms random-walk metaheuristics heuristic-optimization replicability randomized-local-search
  • Updated May 17, 2024
  • Python

EMI-Group / evox

Star 154

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

neuroevolution gym gpu-acceleration evolutionary-algorithms multi-objective-optimization ray black-box-optimization evolutionary-computation evolutionary-strategies metaheuristics jax evolutionary-optimization derivative-free-optimization gradient-free-optimization population-based-optimization brax evolutionary-reinforcement-learinig
  • Updated May 2, 2024
  • Python

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