Frameworks and results in distributionally robust optimization
H Rahimian, S Mehrotra - Open Journal of Mathematical Optimization, 2022 - numdam.org
The concepts of risk aversion, chance-constrained optimization, and robust optimization
have developed significantly over the last decade. The statistical learning community has …
have developed significantly over the last decade. The statistical learning community has …
Humanitarian transportation network design via two-stage distributionally robust optimization
Natural disasters are highly unpredictable, with varying degrees of magnitude, and thus
require a reliable and robust humanitarian relief network. Faced with the adverse effects of …
require a reliable and robust humanitarian relief network. Faced with the adverse effects of …
On the use of mobile power sources in distribution networks under endogenous uncertainty
Mobile power sources (MPSs) have promising potential for spatiotemporal flexibility
exchange in power distribution systems (DS). They can be strategically employed to …
exchange in power distribution systems (DS). They can be strategically employed to …
A Review of Robust Machine Scheduling
Robust optimization (RO) has been recognized as an effective means to deal with
unanticipated events in highly uncertain and risky environments. This paper systematically …
unanticipated events in highly uncertain and risky environments. This paper systematically …
Wasserstein distance‐based distributionally robust parallel‐machine scheduling
Y Yin, Z Luo, D Wang, TCE Cheng - Omega, 2023 - Elsevier
Recent research on distributionally robust (DR) machine scheduling has used a variety of
approaches to describe the region of ambiguity of uncertain processing times by imposing …
approaches to describe the region of ambiguity of uncertain processing times by imposing …
Distributionally-robust chance-constrained optimization of selective maintenance under uncertain repair duration
The joint selective maintenance and repairperson assignment problem with uncertain
duration of maintenance actions is studied in this paper. This problem arises in mission …
duration of maintenance actions is studied in this paper. This problem arises in mission …
Designing robust green sustainable supply chain network by bi-objective optimization method
S Gao, Y Liu, Y Liu - International Journal of General Systems, 2024 - Taylor & Francis
Designing a green supply chain is becoming popular in the context of sustainable
development. To address this academic concern, this paper designs a multi-product, multi …
development. To address this academic concern, this paper designs a multi-product, multi …
Demand steering in a last-mile delivery problem with home and pickup point delivery options
To increase the efficiency of last-mile delivery, online retailers can adopt pickup points in
their operations. The retailer may then incentivize customers to steer them from home to …
their operations. The retailer may then incentivize customers to steer them from home to …
[PDF][PDF] Demand steering in a last-mile delivery problem with multiple delivery channels
A Galiullina, NR Mutlu, J Kinable… - Transportation …, 2023 - research.tue.nl
To increase the efficiency of last-mile delivery, online retailers can adopt pickup points in
their operations. The retailer may then incentivize customers to steer them from home to …
their operations. The retailer may then incentivize customers to steer them from home to …
Distributionally Robust Management of Hybrid Energy Station Under Exogenous-Endogenous Uncertainties and Bounded Rationality
Hybrid energy station (HES) systems coupling diverse energy sectors can facilitate the low-
carbon and sustainable transition by integrating massive wind-solar power and energy …
carbon and sustainable transition by integrating massive wind-solar power and energy …