Probabilistic optimization techniques in smart power system

M Riaz, S Ahmad, I Hussain, M Naeem, L Mihet-Popa - Energies, 2022 - mdpi.com
Uncertainties are the most significant challenges in the smart power system, necessitating
the use of precise techniques to deal with them properly. Such problems could be effectively …

Process optimization of microbial fermentation with parameter uncertainties via distributionally robust discrete control

J Wang, C Chen, F Zhao, J Wang, A Li - Journal of Process Control, 2023 - Elsevier
There are some uncertain kinetic parameters in microbial fermentation system because of
the unclear intracellular metabolic mechanisms. Considering the affection of these uncertain …

A data-driven robust optimization algorithm for black-box cases: An application to hyper-parameter optimization of machine learning algorithms

F Seifi, MJ Azizi, STA Niaki - Computers & Industrial Engineering, 2021 - Elsevier
The huge availability of data in the last decade has raised the opportunity for the better use
of data in decision-making processes. The idea of using the existing data to achieve a more …

Multi-stage distributionally robust convex stochastic optimization with Bayesian-type ambiguity sets

W Ma, Z Chen - Mathematical Methods of Operations Research, 2024 - Springer
The existent methods for constructing ambiguity sets in distributionally robust optimization
often suffer from over-conservativeness and inefficient utilization of available data. To …

Globalized distributionally robust optimization based on samples

Y Li, W ** rapidly, and
the Vehicle Routing Problem (VRP) has been widely concerned. In this paper, we focus on …

Data-driven distributionally robust optimization via optimal transport with order cone constraints

A Esteban-Pérez, JM Morales - arxiv, 2019 - dml.mathdoc.fr
We tackle stochastic programs affected by ambiguity about the probability law that governs
their uncertain parameters. Using Optimal Transport Theory, we construct an ambiguity set …

Theory and applications of Distributionally Robust Optimization with side data

A Esteban-Pérez - 2022 - riuma.uma.es
Nowadays, a large amount of varied data is being generated which, when made available to
the decision maker, constitutes a valuable resource in optimization problems. These data …

[CITATION][C] Data-driven Robust Optimization: References and Keywords

M Namakshenas