hwiberg / OptiCL
An end-to-end framework for mixed-integer optimization with data-driven learned constraints.
☆123Updated last year
Alternatives and similar repositories for OptiCL:
Users that are interested in OptiCL are comparing it to the libraries listed below
- The MIP Workshop 2023 Computational Competition☆41Updated last year
- Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…☆168Updated 4 months ago
- Neur2SP: Neural Two-Stage Stochastic Programming☆43Updated 2 years ago
- ☆26Updated 4 months ago
- ☆17Updated 7 months ago
- Formulate trained predictors in Gurobi models☆229Updated last week
- Extract and visualize information from Gurobi log files☆115Updated this week
- The Machine Learning Optimizer☆104Updated 2 years ago
- Modeling robust optimization problems in Pyomo☆82Updated 2 years ago
- ☆33Updated 4 years ago
- This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆37Updated last month
- Presentation: Custom MIP Heuristics☆34Updated 3 years ago
- ☆26Updated last month
- A tutorial on using C++/Cplex for OR problems. The tutorial is intended to be useful for every OR practitioner with an intermediary knowl…☆40Updated 3 years ago
- Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs☆26Updated last month
- ☆17Updated 2 years ago
- Examples of optimization problems in Python with Gurobi☆28Updated 9 years ago
- Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!☆24Updated 5 years ago
- Combining Reinforcement Learning with Integer Programming for Robust Scheduling☆26Updated last year
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆29Updated 2 weeks ago
- Optimization package for the Security-Constrained Unit Commitment Problem☆116Updated 8 months ago
- ☆51Updated 3 years ago
- Implementation of Integer bender's cut for SP proposed by Laporte et al.☆10Updated 5 years ago
- OptiChat: Explaining Optimization Models Using LLMs☆21Updated this week
- Machine-learning-based column selection☆36Updated 3 years ago
- Robust Stochastic Optimization Made Easy☆311Updated 5 months ago
- Tutorial on Benders decomposition and acceleration techniques☆16Updated last year
- A python implementation of the integer L-shaped method for solving two stage stochastic programs.☆19Updated 10 months ago
- Data-driven APIs for common optimization tasks☆158Updated last month
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆68Updated 3 years ago