Reliability‐constrained robust expansion planning of active distribution networks by Rafael S. Pinto, Clodomiro Unsihuay‐Vila, Fabricio H. Tabarro

“…The first level identifies expansion proposals, the second level finds the worst‐case scenario using adaptive robust optimization, and the third level performs a Monte Carlo Simulation to compute reliability indexes. …”
Get full text

Multi-Objective Portfolio Optimization Model with Fuzzy-Robust Hybrid Approach (As a case:Tehran Stock Exchange) by Mahsa Jaberi, Emran Mohammadi, Amir Azizi

“…Also, for confront with the uncertainties from a robust optimization approach based on minimization of regret, has been used. …”
Get full text

Distributionally robust submodular maximization by Staib, Matthew, Wilder, B, Jegelka, Stefanie Sabrina

“…Algorithmically, we accomplish this by showing how to carry out distributionally robust optimization (DRO) for submodular functions, providing efficient algorithms backed by theoretical guarantees which leverage several novel contributions to the general theory of DRO. …”
Get full text

Exploring the landscape of spatial robustness by Engstrom, Logan G., Tran, Brandon, Tsipras, Dimitris, Schmidt, Ludwig, Madry, Aleksander

“…While data augmentation offers relatively small robustness, we use ideas from robust optimization and test-time input aggregation to significantly improve robustness. …”
Get full text

Robust transportation network design under user equilibrium by Lu, Yun

Get full text

Applications of robust stochastic control in optimal inventory management by Tang, Zimo

“…Applying perturbation techniques to the QVIs associated with the inventory problem, we can derive an inventory control strategy that approximates the optimal strategy of the robust optimization problem under the presence of stochastic volatility. …”
Get full text

Robustly coordinated operation of a multi-energy microgrid with flexible electric and thermal loads by Zhang, Cuo, Xu, Yan, Li, Zhengmao, Dong, Zhao Yang

“…The mathematical problem is modeled as a two-stage robust optimization model and solved by column-and-constraint generation algorithm. …”
Get full text

Recent developments in metamodel based robust black-box simulation optimization: An overview by Parnianifard, Amir, Ahmad, Siti Azfanizam, Ariffin, Mohd Khairol Anuar Mohd, Ismail, Mohd Idris Shah, Ale Ebrahim, Nader

“…This context is focused on the management of uncertainty, particularly based on the Taguchi worldview on robust design and robust optimization methods in the class of dual response methodology when simulation optimization can be handled by surrogates. …”

Recent developments in metamodel based robust black-box simulation optimization: an overview by Parnianifard, Amir, Ahmad, Siti Azfanizam, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Mohd Idris Shah, Ebrahim, Nader Ale

“…This context is focused on the management of uncertainty, particularly based on the Taguchi worldview on robust design and robust optimization methods in the class of dual response methodology when simulation optimization can be handled by surrogates. …”
Get full text

Trade-off in robustness, cost and performance by a multi-objective robust production optimization method by Parnianifard, Amir, Ahmad, Siti Azfanizam, Mohd Ariffin, Mohd Khairol Anuar, Ismail, Mohd Idris Shah

“…In this paper, a novel multi-objective robust optimization model is introduced to investigate the best levels of design variables. …”
Get full text

Hybrid Game Optimization of Microgrid Cluster (MC) Based on Service Provider (SP) and Tiered Carbon Price by Fei Feng, Xin Du, Qiang Si, Hao Cai

“…At first, we propose a robust optimization model of microgrid clusters from the perspective of risk aversion, in which the uncertainty of wind and photovoltaic (PV) output is modeled with resort to the information gap decision theo-ry(IGDT). …”
Get full text

Multi-Stage Robust Scheduling for Community Microgrid with Energy Storage by Ye Tang, Qiaozhu Zhai, Jiexing Zhao

“…Unlike the most popular affine decision rule (ADR) based multi-stage robust optimization (MSRO) method, the method proposed in this paper does not require the affine decision assumption, and the feasible regions (the set of all feasible solutions) are not reduced, nor is the solution quality affected. …”
Get full text

Exploring Regularization Methods for Domain Generalization in Accelerometer-Based Human Activity Recognition by Nuno Bento, Joana Rebelo, André V. Carreiro, François Ravache, Marília Barandas

“…We apply various regularizers, including sparse training, Mixup, Distributionally Robust Optimization (DRO), and Sharpness-Aware Minimization (SAM), to deep learning models and assess their performance in Out-of-Distribution (OOD) settings across multiple domains using homogenized public datasets. …”
Get full text

A day‐ahead bidding strategy for battery swapping and charging system participating in the regulation market by Ziqi Wang, Sizu Hou, Baikui Li, Zhuoxin Yu

“…Furthermore, a boundary expectation approach is proposed to turn the problem into robust optimization. Finally, after using the extreme scenario method (ESM) to generate extreme scenarios, a duality‐free column‐and‐constraint generation (C&CG) algorithm is employed to solve the problem. …”
Get full text

A Proactive-Reactive-Based Approach for Continuous Berth Allocation and Quay Crane Assignment Problems with Hybrid Uncertainty by Zhu Wang, Junfeng Cheng, Hongtao Hu

“…Then, for minor delays, buffer time is added to absorb the uncertainty of the arrival time of vessels. Thus, a robust optimization model for minimizing the total service time of vessels and maximizing the buffer time is developed. …”
Get full text

Data‐driven distributionally robust economic dispatch for park integrated energy systems with coordination of carbon capture and storage devices and combined heat and power plants... by Yuqi Wang, Song Gao, Wenhao Jia, Tao Ding, Zhengyang Zhou, Zekai Wang

“…This paper proposes a data‐driven distributionally robust optimization (DDRO) model for the day‐ahead scheduling of PIESs with coordination of carbon capture and storage devices (CCS) and combined heat and power plants (CHP). …”
Get full text

GAHLS: an optimized graph analytics based high level synthesis framework by Yao Xiao, Shahin Nazarian, Paul Bogdan

“…The GAHLS framework also performs a robust optimization to identify the CaDG subgraphs with similar computational structures and aggregate them into intelligent processing clusters in order to optimize the usage of underlying hardware resources. …”
Get full text

An Uncertainty Modeling Framework for Intracardiac Electrogram Analysis by Amirhossein Koneshloo, Dongping Du, Yuncheng Du

“…The activation order of catheter sensors was modeled with a multinomial distribution, and maximum likelihood estimations were done to track the electrical wave conduction path in the presence of uncertainty. Robust optimization was performed to locate the electrical impulses based on the local conduction velocity and the geodesic distances between catheter sensors. …”
Get full text

Adaptive robust economic dispatch and real-time control of distribution system considering controllable inverter air-conditioner clusters by Guanhong Chen, Dong Liu

“…Afterward, a two-stage adaptive robust optimization is formulated for ARED, which comprehensively takes the adjustable capacity of the IAC cluster and the uncertainty of RES into consideration. …”
Get full text

A Robust Decentralized Linear AC Operation for Integrated Transmission and Distribution Networks by Ahmad Nikoobakht, Esmaeil Mahboubi-Moghaddam

“…Finally, the paper validates through simulations the accuracy and computational-efficiency-of the proposed robust optimization problem and hierarchical decentralized method.…”
Get full text