Cover Image

Surgery Scheduling in Flexible Operating Rooms by using a Convex Surrogate Model of Second-Stage Costs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Almoghrabi, Mohammed Majthoub, Sagnol, Guillaume
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control Computational Engineering, Finance, and Science 90C15
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-convex Programming for Discrete Latent Factor Models Prototyping
by: Zhu, Hao, et al.
Published: (2025)

An Efficient Continuous-Time MILP for Integrated Aircraft Hangar Scheduling and Layout
by: Pazhooh, Shayan Farhang, et al.
Published: (2025)

Smooth Uncertainty Sets: Dependence of Uncertain Parameters via a Simple Polyhedral Set
by: Goldberg, Noam, et al.
Published: (2025)

Fitting Reinforcement Learning Model to Behavioral Data under Bandits
by: Zhu, Hao, et al.
Published: (2025)

Disciplined Biconvex Programming
by: Zhu, Hao, et al.
Published: (2025)

An Exact Solution for Allocating Car Parking Spaces on Campus
by: Joel, Luke Oluwaseye, et al.
Published: (2024)

A Gauge Set Framework for Flexible Robustness Design
by: Wei, Ningji, et al.
Published: (2025)

Dynamic Systems Coupled with Solutions of Stochastic Nonsmooth Convex Optimization
by: Luo, Jianfeng, et al.
Published: (2025)

Operation of an ambulance fleet under uncertainty
by: Guigues, Vincent, et al.
Published: (2022)

Bi-Parameterized Two-Stage Stochastic Min-Max and Min-Min Mixed Integer Programs
by: Kang, Sumin, et al.
Published: (2025)

Predictive Machine Learning to Increase the Throughput of Container Yards
by: Cooper, Austin Ford
Published: (2025)

Optimal Battery Charge Scheduling For Revenue Stacking Under Operational Constraints Via Energy Arbitrage
by: Puech, Alban, et al.
Published: (2023)

Penalty-Free SDDP: Feasibility Cuts for Robust Multi-Stage Stochastic Optimization in Energy Planning
by: Freitas, Guilherme, et al.
Published: (2025)

Stochastic Optimization under Hidden Convexity
by: Fatkhullin, Ilyas, et al.
Published: (2023)

On Accelerating Large-Scale Robust Portfolio Optimization
by: Hsieh, Chung-Han, et al.
Published: (2024)

Yau's Affine-Normal Descent for Large-Scale Unrestricted Higher-Moment Portfolio Optimization
by: Wang, Ya-Juan, et al.
Published: (2026)

Subdifferentials of Convex Operators Valued in the Space of Integrable Functions with Application to Risk-Averse Optimization
by: Dentcheva, Darinka, et al.
Published: (2025)

Bundle methods with quadratic cuts for deterministic and stochastic strongly convex optimization problems
by: Guigues, Vincent, et al.
Published: (2017)

Distributionally Risk-Receptive and Robust Multistage Stochastic Integer Programs and Interdiction Models
by: Kang, Sumin, et al.
Published: (2024)

From Semi-Infinite Constraints to Structured Robust Policies: Optimal Gain Selection for Financial Systems
by: Hsieh, Chung-Han
Published: (2022)

Collaborative Charging Scheduling via Balanced Bounding Box Methods
by: Zhou, Fangting, et al.
Published: (2025)

Stochastic Block Bregman Projection with Polyak-like Stepsize for Possibly Inconsistent Convex Feasibility Problems
by: Zhang, Lu, et al.
Published: (2026)

Surrogate-Based Co-Design Coupling Analysis for Floating Offshore Wind Turbines
by: Bravo, Elena Fernandez, et al.
Published: (2026)

Robust optimization and uncertainty quantification in the nonlinear mechanics of an elevator brake system
by: Wolszczak, Piotr, et al.
Published: (2024)

A Generic Workforce Scheduling and Routing Problem with the Vehicle Sharing and Drop-off and Pick-up Policies
by: Öztürkoğlu, Ömer, et al.
Published: (2023)

Distributionally Robust Optimization over Wasserstein Balls with i.i.d. Structure
by: Kharitenko, Andrey, et al.
Published: (2025)

Exploiting Overlap Information in Chance-constrained Program with Random Right-hand Side
by: Lv, Wei, et al.
Published: (2024)

Random Reshuffling with Momentum for Nonconvex Problems: Iteration Complexity and Last Iterate Convergence
by: Qiu, Junwen, et al.
Published: (2024)

Adaptive Partitioning for Chance-Constrained Problems with Finite Support
by: Roland, Marius, et al.
Published: (2023)

An uncertainty model for positive-valued parameters with application to robust optimization
by: Tanaka, Tatsuya, et al.
Published: (2026)

Hybrid Quantum-Classical Branch-and-Price for Intra-Day Electric Vehicle Charging Scheduling via Partition Coloring
by: Sun, Peng, et al.
Published: (2026)

A Framework for Balancing Power Grid Efficiency and Risk with Bi-objective Stochastic Integer Optimization
by: Rossmann, Ramsey, et al.
Published: (2024)

Uncertain random geometric programming problems
by: Mondal, Tapas, et al.
Published: (2023)

Lossy Image Compression with Stochastic Quantization
by: Kozyriev, Anton, et al.
Published: (2024)

Single-loop variance reduction methods in Bregman setups for finite-sum structured variational inequalities
by: Zhong-bao, Wang, et al.
Published: (2025)

On feasibility cuts for chance-constrained multicommodity network design problems
by: Wouda, Niels A., et al.
Published: (2024)

A note on the complexity of two-stage stochastic linear optimization with small second stage
by: Buchheim, Christoph
Published: (2026)

Robust Capacity Expansion Modelling for Renewable Energy Systems
by: Kebrich, Sebastian, et al.
Published: (2025)

Multi-Objective Multi-mode Time-Cost Tradeoff modeling in Construction Projects Considering Productivity Improvement
by: Mohammadjafari, Ali, et al.
Published: (2024)

LLM-Enhanced, Data-Driven Personalized and Equitable Clinician Scheduling: A Predict-then-Optimize Approach
by: Jha, Anjali, et al.
Published: (2025)