运筹OR帷幄 强化学习学习小组

Multi-Quantile Recurrent Neural Network for Quantile Regression

Neur2SP: Neural Two-Stage Stochastic Programming

Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"

Repository contains implementation of Branch and Prive for classical General Assignment Problem problem using Python and Gurobi solver.

Branch-and-Price-and-Cut in Julia

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

Code for the paper "Smart 'Predict, then Optimize'"

强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行

A branch-and-price-and-cut algorithm for service network design and hub location problem

This project provides a simulator to calibrate and validate the matching functions used for shared mobility equilibrium models.

Admm-based Interior Point Method for Linear Programming

Pyomo and JuMP sample implementations of the Resource-Task Network scheduling MILP model

数学建模和机器学习的笔记和资料（持续更新中......）。

Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"

This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop

A repository for the berth allocation problem

java :berth allocation problem

Program for managing orders, planning and scheduling in job shop production system using popular heuristics alghorithms.

Solving an item production scheduling problem with the help of mathematical optimization

【中译版】Gurobi 官方教程

Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz

Code for scenario reduction in one- and two-stage robust optimization