Aringhieri, Roberto, Bruglieri, Maurizio, Malucelli, Federico, Nonato, Maddalena
A special VRP arising in the optimization of waste disposal: a real case.
Aringhieri, R , Bruni, M E , Khodaparasti, S , van Essen, J T (2017)
Emergency Medical Services and beyond: Addressing new challenges through a wide literature review.
Paolo Landa, Roberto Aringhieri, Patrick Soriano, Elena Tànfani, Angela Testi (2016)
A hybrid optimization algorithm for surgeries scheduling.
Addis, Bernardetta, Aringhieri, Roberto, Grosso, Andrea, Hosteins, Pierre (2016)
Hybrid constructive heuristics for the critical node problem.
Aringhieri, Roberto, Grosso, Andrea, Hosteins, Pierre, Scatamacchia, Rosario (2016)
A General Evolutionary Framework for different classes of Critical Node Problems.
R Aringhieri, G Carello, D Morale (2016)
Supporting decision making to improve the performance of an Italian Emergency Medical Service.
R Aringhieri, A Grosso, P Hosteins, R Scatamacchia (2016)
Local Search Metaheuristics for the Critical Node Problem.
Aringhieri, Roberto, Knight, Vincent, Smith, Honora (2016)
ESI XXXI: OR applied to health in a modern world.
Aringhieri, Roberto, Dell', Anna, Davide, Duma, Davide, Sonnessa, Michele (2016)
Big Data supporting Public Health policies.
Duma, Davide, Aringhieri, Roberto (2015)
An online optimization approach for the Real Time Management of operating rooms.
R Aringhieri, P Landa, P Soriano, E Tànfani, A Testi (2015)
A two level Metaheuristic for the Operating Room Scheduling and Assignment Problem.
R Aringhieri, R Cordone, A Grosso (2015)
Construction and improvement algorithms for dispersion problems.
Daniele Catanzaro, Roberto Aringhieri, Marco Di Summa, Raffaele Pesenti (2015)
A branch-price-and-cut algorithm for the minimum evolution problem.
R Aringhieri, D Duma (2015)
The optimization of a surgical clinical pathway.
R Aringhieri, D Duma (2014)
A hybrid model for the analysis of a surgical pathway.
Roberto Aringhieri, Elena Tanfani, Angela Testi (2013)
Operations Research for Health Care Delivery.
Bernardetta Addis, Roberto Aringhieri, Elena Tanfani, Angela Testi (2012)
Clinical pathways: Insights from a multidisciplinary literature survey.
Bernardetta Addis, Roberto Aringhieri, Giuliana Carello, Andrea Grosso, Francesco Maffioli (2012)
Workforce Management based on forecasted demand.
Roberto Aringhieri, Daniele Catanzaro, Marco Di Summa (2011)
Optimal solutions for the Balanced Minimum Evolution Problem.
Roberto Aringhieri, Roberto Cordone (2011)
Comparing Local Search Metaheuristics for the Maximum Diversity Problem.
Angela Testi, Elena Tanfani, Enrico Ivaldi, Giuliana Carello, Roberto Aringhieri, Vito Fragnelli (2010)
Operations Research for Patient-Centered Health Care Delivery.
Roberto Aringhieri (2010)
An integrated DE and AB simulation model for EMS management.
Roberto Aringhieri, Maurizio Bruglieri, Roberto Cordone (2009)
Optimal results and tight bounds for the maximum diversity problem.
R ARINGHIERI (2009)
Composing medical crews with equity and efficiency.
R Aringhieri, R Berchi, G Carello, V Fragnelli, D Morale, A Pagliosa, G Righini, G Sesana (2008)
Il Ruolo della Ricerca Operativa nell'organizzazione di un sistema di pronto intervento di soccorso sanitario.
R ARINGHIERI, DAMIANI E, VIMERCATI S D C D, PARABOSCHI S, SAMARATI P (2006)
Fuzzy Techniques for Trust and Reputation Management in Anonymous Peer-to-Peer Systems.
R ARINGHIERI, D BONOMI (2006)
A Simulation Model for Trust and Reputation System Evaluation in a P2P Network.
R ARINGHIERI, M DELL', AMICO (2005)
Comparing Metaheuristic Algorithms for the SONET Network Design Problems.
R ARINGHIERI, M DELL', AMICO (2005)
Solution of the SONET Ring Assignment problem with Capacity Constraints.
R ARINGHIERI (2004)
Solving Chance-Constrained Programs combining Tabu Search and Simulation.
R ARINGHIERI, HANSEN P , MALUCELLI F (2003)
Chemical Trees Enumeration Algorithms.
R ARINGHIERI, MALUCELLI F (2003)
Optimal Operations Management and Network Planning of a District Heating System with a Combined Heat and Power Plant.
R ARINGHIERI, HANSEN P , MALUCELLI F (2001)
A Linear Algorithm for The Hyper Wiener Index of Chemical Trees.
We have studied the problem of enumerating and counting chemical trees. First, we focused our attention to the alkane molecular family developing several enumeration algorithms. These algorithms face the problem of efficiently enumerates trees in a unique way. Then, we have addressed the problem of computing topological indices such as the Hyper-Wiener index for molecules in the alkanes family. A new algorithm having optimal linear computational complexity has been developed.
We are currently working on algorithms to estimate phylogenies using the Minimum Evolution principle through non-isomorphic phylogenetic enumeration.
An Emergency Medical Service (EMS) system is a service providing pre-hospital (or out-of-hospital) acute care to patients with illnesses and injuries. A key factor for a successful treatment of an injury is the early response, i.e., the emergency services get to scene quickly.
In order to guarantee a good performance of the system, the critical resources must be carefully managed. The critical resources involved are the ambulances and the staff employed at the operation center.
We are currently working on methods and applications to efficiently manage those critical resources. We are using both optimization and simulation to find efficient location for ambulances and to efficiently compose teams working at the operation center.
We are also working on problems arising in the operating room planning
We studied several optimization problems arising in the field of environmental planning such as the routing problem arising in the collection and disposal of special waste, the management and network planning of a district heating system with a combined heat and power plant and the powering of local energy system by incineration. Both exact and approximated solution approaches have been used.
We are also developing and studying metaheuristics algorithms for efficiently solving combinatorial optimization problems. We are particularly interested in comparing different approaches to highlight the behavior of different intensification and diversification strategies.