Piecewise Constant Decision Rules via Branch-and-Bound Based Scenario Detection for Integer Adjustable Robust Optimization
From MaRDI portal
Publication:4995078
DOI10.1287/ijoc.2019.0934OpenAlexW2994371406MaRDI QIDQ4995078
Ward Romeijnders, Krzysztof Postek
Publication date: 23 June 2021
Published in: INFORMS Journal on Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1805.10079
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Robust portfolios: contributions from operations research and finance
- Adjustable robust solutions of uncertain linear programs
- Binary decision rules for multistage adaptive mixed-integer optimization
- Recent advances in robust optimization: an overview
- Multistage Robust Mixed-Integer Optimization with Adaptive Partitions
- Multistage Adjustable Robust Mixed-Integer Optimization via Iterative Splitting of the Uncertainty Set
- Uncertain Linear Programs: Extended Affinely Adjustable Robust Counterparts
- Two-Stage Robust Network Flow and Design Under Demand Uncertainty
- Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization
- K-Adaptability in Two-Stage Robust Binary Programming
- Adjustable Robust Optimization via Fourier–Motzkin Elimination
- Finite Adaptability in Multistage Linear Optimization
- Robust capacity expansion of network flows
- A Hierarchy of Near-Optimal Policies for Multistage Adaptive Optimization
This page was built for publication: Piecewise Constant Decision Rules via Branch-and-Bound Based Scenario Detection for Integer Adjustable Robust Optimization