Cover Image

Dynamic Redeployment of Nurses Across Hospitals: A Sample Robust Optimization Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Wei, Li, Tianchun, Lu, Mengshi, Shi, Pengyi
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Patient Assignment and Prioritization for Multi-Stage Care with Reentrance
by: Liu, Wei, et al.
Published: (2024)

Inpatient Overflow Management with Proximal Policy Optimization
by: Sun, Jingjing, et al.
Published: (2024)

Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty
by: Liu, Rong-Peng, et al.
Published: (2023)

Robust Optimization Under Objective Functional Uncertainty
by: Song, Yue, et al.
Published: (2026)

Robust Feedback Optimization with Model Uncertainty: A Regularization Approach
by: Chan, Winnie, et al.
Published: (2025)

Sample Complexity of Chance Constrained Optimization in Dynamic Environment
by: Shukla, Apurv, et al.
Published: (2024)

A Robust Compressed Push-Pull Method for Decentralized Nonconvex Optimization
by: Liao, Yiwei, et al.
Published: (2024)

Sample Average Approximation for Distributionally Robust Optimization with $ϕ$-divergences
by: Li, Yan
Published: (2026)

Group Distributionally Robust Optimization with Flexible Sample Queries
by: Bai, Haomin, et al.
Published: (2025)

The Dynamic Team Orienteering Problem in Spatial Crowdsourcing: A Scenario Sampling Approach
by: Wu, Zhibin, et al.
Published: (2026)

Optimization with Multi-sourced Information and Unknown Reliability: A Distributionally Robust Approach
by: Guo, Yanru, et al.
Published: (2025)

Transition Uncertainties in Constrained Markov Decision Models: A Robust Optimization Approach
by: Varagapriya, V
Published: (2025)

Koopman Representations for Non-Vanishing Time Intervals: An Optimization Approach and Sampling Effects
by: Cho, Younghwan, et al.
Published: (2026)

A Robust Optimization Approach for Scheduling with Uncertain Start-Time Dependent Costs
by: Rodríguez-Ballesteros, Sofía, et al.
Published: (2026)

A Robust Optimization Approach to Network Control Using Local Information Exchange
by: Darivianakis, Georgios, et al.
Published: (2024)

Decision-Dependent Distributionally Robust Optimization with Application to Dynamic Pricing
by: Qu, Chengrui, et al.
Published: (2025)

A Deep Reinforcement Learning Approach to Efficient Distributed Optimization
by: Zhu, Daokuan, et al.
Published: (2023)

Robust Optimization Approach for Solving Uncertain Multiobjective Optimization Problems Using the Projected Gradient Method
by: Kumar, Shubham, et al.
Published: (2025)

A Distributionally Robust Optimization Approach to Quick Response Models under Demand Uncertainty
by: Papavassilopoulos, Panayotis P., et al.
Published: (2025)

Robust Distributed Nonconvex Optimization Enabling Communication Acceleration and Privacy Protection
by: Ou, Zichong, et al.
Published: (2026)

A Global-Local Optimization Approach for Asynchronous SAR ADC Design
by: Hao, Yijia, et al.
Published: (2025)

Robust Local Stabilization of Nonlinear Systems with Controller-Dependent Norm Bounds: A Convex Approach with Input-Output Sampling
by: Cheah, Sze Kwan, et al.
Published: (2022)

Out-of-distribution Robust Optimization
by: Cai, Zhongze, et al.
Published: (2024)

From Optimization to Satisficing: Robust Screening under Distributional Ambiguity
by: Ma, Shumin, et al.
Published: (2026)

Difference Between Cyclic and Distributed Approach in Stochastic Optimization for Multi-agent System
by: Shi, Jiahao, et al.
Published: (2024)

Robustness Measures in Distributionally Robust Optimization
by: Gotoh, Jun-ya, et al.
Published: (2025)

Stein Boltzmann Sampling: A Variational Approach for Global Optimization
by: Serré, Gaëtan, et al.
Published: (2024)

Machine Learning Powered Feasible Path Framework with Adaptive Sampling for Black-box Optimization
by: Zhang, Zixuan, et al.
Published: (2025)

ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-k-Cut Problems
by: Qiu, Yeqing, et al.
Published: (2024)

Global Convergence and Rate Analysis of the Steepest Descent Method for Uncertain Multiobjective Optimization via a Robust Optimization Approach
by: Kumar, Shubham, et al.
Published: (2025)

Catastrophe Insurance: An Adaptive Robust Optimization Approach
by: Bertsimas, Dimitris, et al.
Published: (2024)

Coherency Analysis in Nonlinear Heterogeneous Power Networks: A Blended Dynamics Approach
by: Liu, Yixuan, et al.
Published: (2025)

On the Sparsity of Optimal Linear Decision Rules for a Class of Robust Optimization Problems with Box Uncertainty Sets
by: Lu, Haihao, et al.
Published: (2022)

Green Manufacturing Capacity Planning by Integrating Distributionally Robust Optimization and Generative AI
by: Zhou, Xin, et al.
Published: (2026)

Damping Tuning Considering Random Disturbances Adopting Distributionally Robust Optimization
by: Wang, Yuhong, et al.
Published: (2025)

Accelerated Decentralized Constraint-Coupled Optimization: A Dual$^2$ Approach
by: Li, Jingwang, et al.
Published: (2025)

Mean Robust Optimization
by: Wang, Irina, et al.
Published: (2022)

Distributionally Robust Optimization with Polynomial Robust Constraints
by: Nie, Jiawang, et al.
Published: (2023)

Distributionally Robust Optimization for a Resilient Transmission Grid During Geomagnetic Disturbances
by: Lu, Mowen, et al.
Published: (2019)

A Gradient Sampling Algorithm for Noisy Nonsmooth Optimization
by: Berahas, Albert S., et al.
Published: (2026)