Alternatives and similar repositories for ntnu-som

Users that are interested in ntnu-som are comparing it to the libraries listed below

• rdgreene / sa_tsp
  Q-Learning applied to the classic Travelling Salesman Problem
  ☆19Updated 8 years ago
• orrivlin / MinimumVertexCover_DRL
  Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL
  ☆76Updated 6 years ago
• rhgrant10 / tsplib95
  Library for working with TSPLIB files.
  ☆74Updated last year
• ghackebeil / pybnb
  A parallel branch-and-bound engine for Python. (https://pybnb.readthedocs.io/)
  ☆68Updated 3 years ago
• billsioros / pytsp
  🐍 💼 A Pythonic approach to the Travelling Salesman Problem
  ☆15Updated last year
• lccasagrande / TSP-GA
  A Genetic Algorithm in Python for the Travelling Salesman Problem
  ☆64Updated 2 years ago
• unit8co / medium-tsp
  Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"
  ☆57Updated 5 years ago
• ntnu-arl / LKH_TSP
  A set of tools to solve TSP problems using the LKH solver
  ☆96Updated 9 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆54Updated 6 years ago
• matthelb / concorde
  Concorde is a computer code for the symmetric traveling salesman problem (TSP) and some related network optimization problems. It was cre…
  ☆92Updated 3 years ago
• cfld / simple_tsp
  Python/Numba implemenation of of Lin-Kernighan-style TSP solver
  ☆19Updated 4 years ago
• rwuilbercq / Hive
  Artificial Bee Colony Algorithm in Python.
  ☆111Updated 4 years ago
• chaitjo / learning-paradigms-for-tsp
  Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
  ☆33Updated 4 years ago
• suyunu / Flow-Shop-Scheduling
  Genetic Algorithm for Flow Shop Scheduling
  ☆29Updated 7 years ago
• JaswanthBadvelu / Reinforcement-Learning-CVRP
  Dynamic Attention Encoder-Decoder model to learn and design heuristics to solve capacitated vehicle routing problems
  ☆44Updated 4 years ago
• ahottung / NLNS
  Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
  ☆90Updated 4 years ago
• Kuifje02 / vrpy
  A python framework for solving the VRP and its variants with column generation.
  ☆195Updated 2 years ago
• erachelson / rlvs_rl_fundamentals
  ☆25Updated 4 years ago
• rhgrant10 / acopy
  A Python implementation of the Ant Colony Optimization Meta-Heuristic
  ☆97Updated 2 years ago
• ankonzoid / XY_universe
  A 2D Particle Survival Environment for Deep Reinforcement Learning
  ☆25Updated 5 years ago
• pdrm83 / py2opt
  How to solve the traveling salesman problem with the 2-opt algorithm, a fast heuristic search algorithm.
  ☆35Updated 2 years ago
• jeguzzi / mighty-thymio
  Complementary material to EAAAI18 Paper "Mighty Thymio for Higher-Level Robotics Education"
  ☆19Updated last year
• UmbertoJr / ML-Constructive
  ML-Constructive is a deep learning based constructive heuristic for the Traveling Salesman Problem.
  ☆11Updated last year
• Hvass-Labs / swarmops
  Heuristic Optimization for Python
  ☆72Updated 5 years ago
• wasinski / VRP
  vehicle routing problem in py
  ☆37Updated 6 years ago
• jmhummel / Traveling-Saleman-Genetic-Algorithm
  Solving the Traveling Salesman problem with 49 US Capitals using a genetic algorithm
  ☆16Updated 7 years ago
• dave-yxw / rl_tsp
  reinforcement learning for tsp by pointer network
  ☆29Updated 7 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• sisl / MultiAgentAllocationTransit.jl
  Efficient Large-Scale Multi-Drone Delivery Using Transit Networks
  ☆83Updated last year
• skatsuta / vrp-solver
  Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) solver written in Python.
  ☆97Updated last year