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University of Chinese Academy of Sciences
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07:18
(UTC +08:00) - https://scholar.google.com/citations?user=lg95D1YAAAAJ&hl=en
- https://orcid.org/0009-0006-0627-8582
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Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
Code for Genetic Algorithms with Neural Cost Predictor (https://arxiv.org/pdf/2310.14157.pdf)
Machine Learning for Evolutionary Computation - for Vehicle Routing Problems (ML4VRP) competition resources at GECCO 2024.
Python package to read and write vehicle routing problem instances.
Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.
A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.
This is a repository for paper "Intelligent inventory management approaches for perishable pharmaceutical products in a healthcare supply chain".
The codes for the machine learning algorithms to solve cut-generating linear programs
elkai is a Python library for solving travelling salesman problems (TSP) based on LKH 3
An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
Personal experiments on Reinforcement Learning
arnabanimesh / PDTSP
Forked from vidalt/PDTSPCode and data from the paper "Exponential-size neighborhoods for the pickup-and-delivery traveling salesman problem", authored by T. Pacheco, R. Martinelli, A. Subramanian, T. Toffolo, and T. Vidal
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
The code for the SRDQN algorithm to train an agent for the beer game problem
Awesome machine learning for combinatorial optimization papers.
Repository contains implementation of Branch and Prive for classical General Assignment Problem problem using Python and Gurobi solver.
Data-driven APIs for common optimization tasks
Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are…
HybridCVRP: A Hybrid Metaheuristic Solver for the Capacitated Vehicle Routing Problem