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incubator-kie-optaplanner

apache / incubator-kie-optaplanner

Star 3.5k

OplaPlanner has moved to https://github.com/apache/incubator-kie-drools. This repository is archived. OptaPlanner is an 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 Jul 14, 2026
  • Java

100 / Solid

Star 582

🎯 A comprehensive gradient-free optimization framework written in Python

python machine-learning library algorithm optimization genetic-algorithm machine-learning-algorithms artificial-intelligence genetic-algorithm-framework simulated-annealing hill-climbing evolutionary-algorithm optimization-algorithms particle-swarm-optimization tabu-search stochastic-optimizers metaheuristics discrete-optimization harmony-search continuous-optimization
  • Updated Jul 19, 2019
  • Python

optframe / optframe

Star 92

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 Local Search, Variable Neighborhood Search, NSGA-II, Genetic Programming etc. Examples for Traveling Salesman, Vehicle Routing, Knapsack Problem, etMu

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 Sep 15, 2025
  • C++

sharma-n / global_optimization

Star 62

Heuristic global optimization algorithms in Python

python evolution genetic-algorithm pathfinding hyperparameter-optimization vehicle-routing-problem global-optimization simulated-annealing ant-colony-optimization dds genetic-algorithms particle-swarm-optimization pso nsga-ii tabu-search heuristic-optimization nsga2 travelling-salesman-problem surrogate-based-optimization dynamically-dimensioned-search
  • Updated Mar 27, 2021
  • Jupyter Notebook

mahdims / Branch-and-price-

Star 61

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

linear-programming python3 decomposition vehicle-routing-problem vrp multi-objective-optimization tsp mathematical-modelling tabu-search branch-and-price integer-programming branch-and-bound grasp travelling-salesman-problem column-generation or-tools orienteering-problem
  • Updated May 9, 2026
  • Python

CarlossShi / tsp-meta-heuristic

Star 42

Python implementation of Tabu Search (TB), Genetic Algorithm (GA), and Simulated Annealing (SA) solving Travelling Salesman Problem (TSP). Term project of Intelligent Optimization Methods, UCAS course 070105M05002H. 禁忌搜索, 遗传算法, ���拟退火解旅行商问题的Python实现. 中国科学院大学现代智能优化方法大作业.

genetic-algorithm ucas sa simulated-annealing ga tsp tabu-search travelling-salesman-problem tb 070105m05002h
  • Updated Sep 2, 2022
  • Python

StevenBtw / solvOR

Sponsor
Star 30

Optimization solvers in pure Python: LP, MILP, SAT, constraint programming, graph and metaheuristics. No dependencies. Solvor all your optimization needs.

python graph-algorithms genetic-algorithm simplex linear-programming constraint-programming dijkstra pure-python sat-solver breadth-first-search operations-research dancing-links floyd-warshall tabu-search hungarian-algorithm minimum-spanning-tree bellman-ford network-simplex-algorithm knuth-algorithm-x milp-optimisation
  • Updated Apr 7, 2026
  • Python

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