Results 31 to 40 of about 3,143,268 (283)

An Optimal Distributionally Robust Auction

CoRR, 2020
Updated literature review and exposition; results ...
openaire   +3 more sources

Distributionally Robust Bayesian Quadrature Optimization

CoRR, 2020
AISTATS2020
Thanh Tang Nguyen, Sunil Gupta 0001, Huong Ha 0001, Santu Rana, Svetha Venkatesh   +4 more
openaire   +4 more sources

Research on distributionally robust optimization method considering the flexibility of power grids along CZ railway

Energy Reports, 2023
To avoid the problem of insufficient flexibility of the power grid along the cz railway due to source-load fluctuations, a distributionally robust optimization method considering flexibility is proposed in this paper.
Jiawei Liu, Min Li, Jing Gou, Wenhao Sun, Qiao Zhang, Zhigang Liu   +5 more
doaj   +1 more source

Relief Network Design Problem: A Distributionally Robust Optimization Approach [PDF]

چشم‌انداز مدیریت صنعتی, 2021
In this study, a robust two-stage risk-aversion optimization model is proposed for the multi-product relief network design problem. The comprehensive set of decisions for locating and reinforcing relief facilities, inventory planning, and distributing ...
Aliakbar Hasani
doaj   +1 more source

Distributionally Robust Optimization with Markovian Data

CoRR, 2021
20 ...
Li, Mengmeng, Sutter, Tobias, Kuhn, Daniel   +2 more
openaire   +6 more sources

Distributionally robust optimization for integrated energy distribution network considering vine Copula uncertainty of wind power, photovoltaic and demand side response

Diance yu yibiao
In order to adapt to the uncertainty of new energy, increase new energy consumption and reduce carbon emissions, an optimal scheduling model of integrated energy distribution network system is proposed based on vine Copula considering three uncertainties
YANG Mingjie, HU Yangyu, QIAN Haixia, LIU Fang, WANG Xingkai, XIAO Yuxiang   +5 more
doaj   +1 more source

Nonlinear distributionally robust optimization

Mathematical Programming
This article focuses on a class of distributionally robust optimization (DRO) problems where, unlike the growing body of the literature, the objective function is potentially nonlinear in the distribution. Existing methods to optimize nonlinear functions in probability space use the Frechet derivatives, which present theoretical and computational ...
Mohammed Rayyan Sheriff, Peyman Mohajerin Esfahani   +1 more
openaire   +5 more sources

Distributionally robust possibilistic optimization problems

Fuzzy Sets and Systems, 2023
In this paper a class of optimization problems with uncertain linear constraints is discussed. It is assumed that the constraint coefficients are random vectors whose probability distributions are only partially known. Possibility theory is used to model the imprecise probabilities.
Romain Guillaume, Adam Kasperski, Pawel Zielinski 0001   +2 more
openaire   +3 more sources

Distributionally Robust Economic Dispatch for Electricity–Hydrogen–Ammonia Coupled Systems with Chance Constraints

Energies
Against the backdrop of the global low-carbon transition, power-to-ammonia (PtA) has emerged as a pivotal direction for large-scale energy storage. Distributionally robust optimization can effectively address uncertainties in energy systems; however ...
Miaoyi Liu, Yongliang Liang, Wei Cong, Zhexuan Shuai, Fangyuan Wang   +4 more
doaj   +1 more source

Sinkhorn Distributionally Robust Optimization

Operations Research
Entropy-Regularized Wasserstein Distributionally Robust Optimization Uncertainty in data poses a central challenge in operations research. Distributionally robust optimization (DRO) offers a principled framework for addressing this challenge by producing solutions resilient to distributional variations.
Jie Wang, Rui Gao, Yao Xie
openaire   +3 more sources