Alternatives and similar repositories for EoH

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

• FeiLiu36 / LLM4Opt
  A Collection on Large Language Models for Optimization
  ☆257Updated 7 months ago
• ai4co / reevo
  [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
  ☆188Updated last month
• ai4co / awesome-fm4co
  Recent research papers about Foundation Models for Combinatorial Optimization
  ☆320Updated this week
• FeiLiu36 / LLM4MOEA
  Large Language Model for MOEA
  ☆53Updated last year
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆162Updated 8 months ago
• wuxingyu-ai / LLM4EC
  A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.
  ☆96Updated 3 months ago
• CIAM-Group / NCO_code
  L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
  ☆80Updated 3 weeks 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
• MetaEvo / MetaBox
  MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
  ☆138Updated last week
• MetaEvo / Awesome-MetaBBO
  A collection of MetaBBO papers and code sources
  ☆70Updated last week
• MetaEvo / psc4MetaBBO
  ☆41Updated 8 months ago
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆70Updated 3 weeks ago
• MetaEvo / Symbol
  Python implementation of SYMBOL
  ☆14Updated last year
• dongjinkun / COPZoo
  Neural Combinatorial Optimization
  ☆62Updated this week
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆61Updated 3 years ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆56Updated 2 years ago
• Xi-L / PSL-MOBO
  ☆35Updated last year
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆109Updated 2 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆51Updated 3 weeks ago
• XAI-liacs / LLaMEA
  Large Language Model Evolutionary Algorithm
  ☆43Updated last week
• 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
• WXY1427 / Learn-LNS-policy
  ☆32Updated 2 years ago
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆70Updated last month
• yimengmin / UTSP
  code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem
  ☆53Updated 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
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆202Updated 9 months ago
• Bill-CJB / NHDE
  ☆24Updated last year
• ai-for-decision-making-tue / Job_Shop_Scheduling_Benchmark_Environments_and_Instances
  A benchmarking repo with various solution methods to various machine scheduling problems
  ☆140Updated 4 months ago
• 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
• yd-kwon / POMO
  codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
  ☆196Updated 2 years ago