Alternatives and similar repositories for customhys:

Users that are interested in customhys are comparing it to the libraries listed below

• IOHprofiler / IOHexperimenter
  Experimentation procedure for Iterative Optimization Heuristics
  ☆58Updated this week
• water-mirror / NeuLNS
  Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learni…
  ☆93Updated 4 years ago
• ahottung / NLNS
  Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
  ☆90Updated 4 years ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆191Updated 4 years ago
• PyVRP / VRPLIB
  Python package to read and write vehicle routing problem instances.
  ☆106Updated 6 months ago
• chkwon / PyHygese
  A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)
  ☆90Updated 3 weeks ago
• Valdecy / pyCombinatorial
  This library provides a comprehensive suite of algorithms to solve the Travelling Salesman Problem (TSP), ranging from Exact Algorithms, …
  ☆120Updated last month
• google-research / tf-opt
  ☆39Updated last month
• wouterkool / dpdp
  DPDP
  ☆100Updated 2 years ago
• yining043 / TSP-improve
  An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP prob…
  ☆92Updated 2 years ago
• Evolutionary-Intelligence / DistributedEvolutionaryComputation
  A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and …
  ☆133Updated last week
• tumBAIS / euro-meets-neurips-2022
  ☆46Updated 10 months ago
• ortec / euro-neurips-vrp-2022-quickstart
  Quickstart for EURO Meets NeurIPS 2022 Vehicle Routing Competition
  ☆94Updated 2 years ago
• thomasWeise / moptipy
  Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be …
  ☆24Updated last month
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆99Updated 2 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
• JaswanthBadvelu / Reinforcement-Learning-CVRP
  Dynamic Attention Encoder-Decoder model to learn and design heuristics to solve capacitated vehicle routing problems
  ☆44Updated 4 years ago
• ben-hudson / pylkh
  A super simple Python wrapper for the constrained traveling salesman and vehicle routing problem solver LKH-3.
  ☆35Updated 3 weeks ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆51Updated 4 years ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆50Updated 3 years ago
• liangxinedu / MDAM
  ☆51Updated 3 years ago
• Evolutionary-Intelligence / pypop
  [JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (includ…
  ☆236Updated this week
• xKuZz / pyade
  Python Advanced Differential Evolution
  ☆43Updated last year
• d-eremeev / ADM-VRP
  Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)
  ☆122Updated last year
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆26Updated last year
• forfrt / Hyper_Heuristic_Framework
  A Hyper-Heuristic framework
  ☆47Updated 2 weeks ago
• MLopez-Ibanez / irace
  Iterated Racing for Automatic Algorithm Configuration
  ☆63Updated this week
• seage / hyflex
  Some hyper-heurisics from CHeSC 2011 challenge and the challenge results reproducing attempts.
  ☆22Updated 2 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆81Updated 3 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆84Updated 3 years ago