Evolutionary-Intelligence / dpop7
A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
☆19Updated last year
Alternatives and similar repositories for dpop7:
Users that are interested in dpop7 are comparing it to the libraries listed below
- Evolutionary Computation: A Modern Perspective |<...>| This is an online book, which is free-access and actively-updated (1st Edition: fr…☆52Updated last month
- A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and …☆135Updated this week
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆50Updated last year
- MetaBox: Benchmarking Platform for Meta-Black-Box Optimization☆117Updated this week
- Population-Based Reinforcement Learning for Combinatorial Optimization☆73Updated last year
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆67Updated last month
- Large Language Model Evolutionary Algorithm☆33Updated last week
- (ICML 2024) The official code for EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search☆26Updated 10 months ago
- [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems☆27Updated last month
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆20Updated last week
- Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem☆28Updated 2 years ago
- ☆39Updated last year
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆25Updated last month
- multi-task learning for routing problem☆19Updated 6 months ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆64Updated last year
- ☆31Updated 2 years ago
- This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).☆33Updated 5 years ago
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆68Updated 9 months ago
- ☆23Updated last year
- ☆35Updated last year
- [AAMAS 2025] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems☆20Updated 4 months ago
- COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search☆38Updated 10 months ago
- (ICML 2024) The official code for Value-Evolutionary-Based Reinforcement Learning☆15Updated 10 months ago
- Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization☆61Updated 3 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆99Updated 2 years ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆34Updated last month
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆51Updated last year
- ☆11Updated last year
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆53Updated 11 months ago
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆48Updated 9 months ago