A repository holding methods from data-driven-optimization used in data science and operations research including sample average approximations, bandit problems, robust optimization, stochastic optimization and reinforcement learning.
☆23Jun 20, 2020Updated 6 years ago
Alternatives and similar repositories for Data-Driven-Optimization
Users that are interested in Data-Driven-Optimization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Data and code for the paper Data-Driven Robust Optimization using Unsupervised Deep Learning written by Marc Goerigk and Jannis Kurtz☆26Jun 7, 2021Updated 5 years ago
- A Decision Rule Approach for Two-Stage Data-Driven Distributionally Robust Optimization Problems with Random Recourse☆35Aug 25, 2022Updated 4 years ago
- Robust optimization, Decision rule, Benders Docomposition☆10Mar 11, 2019Updated 7 years ago
- the codes and some preliminary progress in the work of robust stochastic portfolio optimization☆11Oct 15, 2020Updated 6 years ago
- Python code for the BSc thesis: "Machine learning to support cutting plane selection in two-stage robust optimization problems using a co…☆13Jul 30, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆13Aug 13, 2022Updated 4 years ago
- Data and codes for energy circuit method-based optimal energy flow☆14Sep 17, 2022Updated 4 years ago
- Deep Dynamic Transformer Model for Multi-Start Team Orienteering Problem☆11Jul 15, 2022Updated 4 years ago
- ☆11Jan 31, 2022Updated 4 years ago
- Source codes of our paper on "Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Ball…☆30Jul 31, 2021Updated 5 years ago
- Code for Deep Neural Network Approximated Dynamic Programming☆17Jul 14, 2020Updated 6 years ago
- ☆12Jan 27, 2023Updated 3 years ago
- 应用ALNS算法解决VRPPD问题☆60Jan 30, 2021Updated 5 years ago
- ☆12Oct 15, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Branch-price-and-cut code for the VRPTW☆27Mar 24, 2023Updated 3 years ago
- Code for "Explainable Data-Driven Optimization" (ICML 2023)☆13Jul 21, 2023Updated 3 years ago
- This repository explores a variety of data visualization techniques, with a particular focus on applications in the hospitality domain. I…☆41Oct 16, 2025Updated last year
- Scenario reduction algorithms for stochastic programming☆21Nov 11, 2018Updated 7 years ago
- Python implementation of the genetic algorithm SNRPGA2 for the Time-Dependent Vehicle Routing Problem with Time Windows (TDVRPTW).☆11Mar 30, 2022Updated 4 years ago
- This resource page includes the dataset used to train a battery degradation neural network model, as well as the associated python code. …☆11Jan 18, 2026Updated 9 months ago
- ☆12Apr 21, 2025Updated last year
- A branch-and-price-and-cut algorithm for service network design and hub location problem☆18Jun 8, 2022Updated 4 years ago
- Implementation of the (dynamic) stochastic dual dynamic integer programming (SDDiP) algorithm.☆25May 11, 2026Updated 5 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A pytorch implementation of the methods described in the paper "Deep Reinforcement Learning for Continuous Electric Vehicles Charging Con…☆30Sep 13, 2023Updated 3 years ago
- Modelling and optimization for microgrids, energy hubs, distribution systems and transmission systems☆11Dec 14, 2022Updated 3 years ago
- Code / data for the paper "A Dual Approximate Dynamic Programming Approach for Multi-stage Stochastic Unit Commitment" http://www.optimiz…☆44Sep 22, 2019Updated 7 years ago
- code and data for C&OR paper 'a GRL framework for neural ALNS'☆12Mar 5, 2025Updated last year
- In electrical distribution systems, a great amount of power are wasting across the lines, also nowadays power factors, voltage profiles a…☆16Nov 11, 2018Updated 7 years ago
- Material from Power System Transients course taught in Fall 2020.☆17Jun 6, 2025Updated last year
- Daline: A Data-driven Power Flow Linearization Toolbox for Power Systems Research and Education☆27Sep 10, 2026Updated last month
- Joint market clearing of energy and frequency services, including a pricing methodology.☆26Mar 7, 2020Updated 6 years ago
- Choosing the optimal location and size of distributed generation sources based on renewable energies in the micro-grid☆17May 6, 2019Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- A set of methods and proprieties to perform reliability-based-design-optimization by Scenario theory. Scenario optimization makes direct…☆18Oct 5, 2022Updated 4 years ago
- PowerSAS.m - A power grid analysis toolbox based on semi-analytical solutions (SAS) for Matlab/GNU Octave☆24Jan 5, 2024Updated 2 years ago
- LSTM_MPC(reactive distillation system)☆11Jul 21, 2020Updated 6 years ago
- StochOptim is a Stochastic Optimization package with scenario-generation tools for two- and multi-stage problems☆28Feb 13, 2023Updated 3 years ago
- The implementation of the paper "A variable neighborhood search-based algorithm with adaptive local search for the Vehicle Routing Proble…☆13May 2, 2024Updated 2 years ago
- Headway - Selenium Maven TestNG POM Data Driven Framework☆20Jul 2, 2025Updated last year
- Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo☆11Jun 11, 2019Updated 7 years ago