Optimization and Decision Science: Methodologies and Applications

1. Front Matter

   Pages i-xvi

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2. Invited Lectures

   1. Front Matter

      Pages 1-1

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   2. Robust Network Control and Disjunctive Programming

      • Daniel Bienstock

      Pages 3-11

   3. Data Science Meets Optimization

      • Patrick De Causmaecker

      Pages 13-20

   4. From Mixed-Integer Linear to Mixed-Integer Bilevel Linear Programming

      • Matteo Fischetti

      Pages 21-28

3. Data Science

   1. Front Matter

      Pages 29-29

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   2. Outperforming Image Segmentation by Exploiting Approximate K-Means Algorithms

      • Flora Amato, Mario Barbareschi, Giovanni Cozzolino, Antonino Mazzeo, Nicola Mazzocca, Antonio Tammaro

      Pages 31-38

   3. Approximate Decision Tree-Based Multiple Classifier Systems

      • Mario Barbareschi, Cristina Papa, Carlo Sansone

      Pages 39-47

   4. Look-Up Tables for Efficient Non-Linear Parameters Estimation

      • Stefano Marrone, Gabriele Piantadosi, Mario Sansone, Carlo Sansone

      Pages 49-57

   5. On the UTA Methods for Solving the Model Selection Problem

      • Valentina Minnetti

      Pages 59-67

   6. The Importance to Manage Data Protection in the Right Way: Problems and Solutions

      • Hassan Mokalled, Daniele Debertol, Ermete Meda, Concetta Pragliola

      Pages 69-82

   7. The Use of Configurational Analysis in the Evaluation of Real Estate Dynamics

      • Enrico G. Caldarola, Valerio Di Pinto, Antonio M. Rinaldi

      Pages 83-92

   8. A Partitioning Based Heuristic for a Variant of the Simple Pattern Minimality Problem

      • Maurizio Boccia, Adriano Masone, Antonio Sforza, Claudio Sterle

      Pages 93-102

4. Health Care

   1. Front Matter

      Pages 103-103

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   2. Patient–Centred Objectives as an Alternative to Maximum Utilisation: Comparing Surgical Case Solutions

      • Roberto Aringhieri, Davide Duma

      Pages 105-112

   3. A Hierarchical Multi-objective Optimisation Model for Bed Levelling and Patient Priority Maximisation

      • Roberto Aringhieri, Paolo Landa, Simona Mancini

      Pages 113-120

   4. Multi-Classifier Approaches for Supporting Clinical Diagnosis

      • Maria Carmela Groccia, Rosita Guido, Domenico Conforti

      Pages 121-128

   5. Offline Patient Admission Scheduling Problems

      • Rosita Guido, Vittorio Solina, Domenico Conforti

      Pages 129-137

   6. Stochastic Dynamic Programming in Hospital Resource Optimization

      • Marco Papi, Luca Pontecorvi, Roberto Setola, Fabrizio Clemente

      Pages 139-147

5. Heuristics and Metaheuristics

   1. Front Matter

      Pages 149-149

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This proceedings volume highlights the state-of-the-art knowledge related to optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It includes contributions tackling these themes using models and methods based on continuous and discrete optimization, network optimization, simulation and system dynamics, heuristics, metaheuristics, artificial intelligence, analytics, and also multiple-criteria decision making. The number and the increasing size of the problems arising in real life require mathematical models and solution methods adequate to their complexity. There has also been increasing research interest in Big Data and related challenges. These challenges can be recognized in many fields and systems which have a significant impact on our way of living: design, management and control of industrial production of goods and services; transportation planning and traffic management in urban and regional areas;energy production and exploitation; natural resources and environment protection; homeland security and critical infrastructure protection; development of advanced information and communication technologies. The chapters in this book examine how to deal with new and emerging practical problems arising in these different fields through the presented methodologies and their applications. The chapter topics are applicable for researchers and practitioners working in these areas, but also for the operations research community. 

The contributions were presented during the international conference “Optimization and Decision Science” (ODS2017), held at Hilton Sorrento Palace Conference Center, Sorrento, Italy, September 4 – 7, 2017. ODS 2017, was organized by AIRO, Italian Operations Research Society, in cooperation with DIETI (Department of Electrical Engineering and Information Technology) of University “Federico II” of Naples.

• Optimization
• Algorithms
• Decision Methods
• Operations Research Applications
• Business Analytics
• Emergency Logistics
• Transportation Systems
• Practice of OR
• Data Analytics
• Network Optimization
• Heuristics

• Department of Electrical Engineering and Information Technology, University “Federico II” of Naples, Naples, Italy

  Antonio Sforza, Claudio Sterle

Antonio Sforza is a Full Professor of Operational Research at the Department of Electrical Engineering and Information Technology of the University ‘Federico II’ of Naples. His research activity is devoted to discrete and network optimisation, with applications to traffic management and control, transportation planning, logistics, urban security, critical infrastructure protection, and industrial process management. He organised national and international conferences and workshops on these themes. He is referee of many international journals and author of more than 100 publications on books, journals, national and international conference proceedings. He is a member of the Scientific Board of CIRO (Italian Interuniversity Center for Operational Research).


Claudio Sterle received the Laurea degree Summa Cum Laude in Management Engineering (2006) at University ‘Federico II’ of Naples and the PhD in Computer Science and Automatic Control (2009)
at the Department of Computer Science and Systems of the same university. Now he is at Department of Electrical Engineering and Information Technology, where he is currently an Assistant Professor in Operations Research. His research interests include exact and heuristic methods for combinatorial and network optimisation problems with applications to logistics and transportation, critical infrastructure protection, security system design and industrial process management.

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