Massimo Roma | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Managing low–acuity patients in an Emergency Department through simulation–based multiobjective optimization using a neural network metamodel	HEALTH CARE MANAGEMENT SCIENCE	2024
On the Use of the SYMMBK Algorithm for Computing Negative Curvature Directions Within Newton–Krylov Methods	Optimization in Green Sustainability and Ecological Transition ODS, Ischia, Italy, September 4–7, 2023	2024
A two-objective optimization of ship itineraries for a cruise company	4OR	2023
The Ambulance Diversion phenomenon in an Emergency Department network: a case study.	Optimization and Decision Science: Operations Research, Inclusion and Equity	2023
A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department	ANNALS OF OPERATIONS RESEARCH	2022
An Improvement of the Pivoting Strategy in the Bunch and Kaufman Decomposition, Within Truncated Newton Methods	AIRO Springer Series	2022
Determining the optimal piecewise constant approximation for the nonhomogeneous Poisson process rate of Emergency Department patient arrivals	FLEXIBLE SERVICES AND MANUFACTURING JOURNAL	2021
Effect of different patient peak arrivals on an Emergency Department via discrete event simulation	SIMULATION	2021
A Simulation-Based Optimization approach for analyzing the ambulance diversion phenomenon in an Emergency Department network		2021
Cruise itineraries optimal scheduling	OPTIMIZATION LETTERS	2020
A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization	SIAM JOURNAL ON OPTIMIZATION	2020
Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization	JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS	2020
Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton’s equation	COMPUTATIONAL OPTIMIZATION AND APPLICATIONS	2020
How grossone can be helpful to iteratively compute negative curvature directions	Learning and Intelligent Optimization	2019
Preconditioned nonlinear conjugate gradient methods based on a modified secant equation	APPLIED MATHEMATICS AND COMPUTATION	2018
An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization	OPERATIONS RESEARCH LETTERS	2018
Data and performance profiles applying an adaptive truncation criterion, within linesearch-based truncated Newton methods in large scale nonconvex optimization	DATA IN BRIEF	2018
Quasi-Newton based preconditioning and damped quasi-Newton schemes for nonlinear conjugate gradient methods	Numerical analysis and optimization	2018
Novel preconditioners based on quasi–Newton updates for nonlinear conjugate gradient methods	OPTIMIZATION LETTERS	2017
Exploiting damped techniques for nonlinear conjugate gradient methods	MATHEMATICAL METHODS OF OPERATIONS RESEARCH	2017

ERC

PE1_20

Interessi di ricerca

Nonlinear Optimization, Discrete Event Simulation, Simulation based Optimization

Keywords

optimization

Black-box optimization

Simulation