Alternatives and similar repositories for reevo

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

• FeiLiu36 / LLM4Opt
  A Collection on Large Language Models for Optimization
  ☆257Updated 7 months ago
• ai4co / awesome-fm4co
  Recent research papers about Foundation Models for Combinatorial Optimization
  ☆320Updated last week
• FeiLiu36 / EoH
  Evolution of Heuristics
  ☆169Updated 4 months ago
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆162Updated 8 months ago
• henry-yeh / GLOP
  [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
  ☆91Updated 5 months ago
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆70Updated 3 weeks ago
• FeiLiu36 / LLM4MOEA
  Large Language Model for MOEA
  ☆53Updated last year
• CIAM-Group / NCO_code
  L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
  ☆80Updated 3 weeks ago
• dongjinkun / COPZoo
  Neural Combinatorial Optimization
  ☆62Updated this week
• antgroup / LLMOPT
  The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…
  ☆68Updated 2 months ago
• xzymustbexzy / Chain-of-Experts
  Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"
  ☆99Updated 4 months ago
• MIRALab-USTC / L2O-HEM-Torch
  The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…
  ☆58Updated 2 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆109Updated 2 years ago
• Cardinal-Operations / ORLM
  ORLM: Training Large Language Models for Optimization Modeling
  ☆161Updated 2 months ago
• WXY1427 / Learn-LNS-policy
  ☆32Updated 2 years ago
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆61Updated 3 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆51Updated 3 weeks ago
• wuuu110 / NCO-solvers-for-VRP
  ☆59Updated 3 weeks ago
• yd-kwon / POMO
  codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
  ☆196Updated 2 years ago
• bwz96sco / or_llm_agent
  ☆33Updated last month
• wuxingyu-ai / LLM4EC
  A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.
  ☆96Updated 3 months ago
• yd-kwon / MatNet
  codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"
  ☆70Updated 3 years ago
• naver / goal-co
  ☆36Updated last month
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆56Updated 2 years ago
• ahottung / EAS
  Efficient Active Search
  ☆52Updated 3 years ago
• naver / bq-nco
  ☆40Updated last year
• MetaEvo / MetaBox
  MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
  ☆138Updated last week
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆70Updated last month
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆55Updated last year
• yining043 / NeuOpt
  This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…
  ☆51Updated 11 months ago