This book gathers the contributions of the international conference Optimization and Decision Science (ODS2018), which was held at the Hotel Villa Diodoro, Taormina (Messina), Italy on September 10 to 13, 2018, and was organized by AIRO, the Italian Operations Research Society, in cooperation with the DMI (Department of Mathematics and Computer Science) of the University of Catania (Italy). The book offers state-of-the-art content on optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It highlights a range of real-world problems that are both challenging and worthwhile, using models and methods based on continuous and discrete optimization, network optimization, simulation and system dynamics, heuristics, metaheuristics, artificial intelligence, analytics, and multiple-criteria decision making. Given its scope of coverage, it will benefit not only researchers and practitioners working in theseareas, but also the operations research community as a whole.

Provides a comprehensive overview of the state-of-the-art in optimization, decisions science and problem solving methods Presents the latest research, trends and perspectives on critical and challenging topics in complex systems Offers an essential reference guide for both researchers and practitioners in operations research

Autorentext
Patrizia Daniele is a Full Professor of Operations Research at the University of Catania. In 2006 she was a Visiting Scholar at the Division of Engineering and Applied Science (DEAS), Harvard University. Her areas of research include global optimization, variational inequality theory, infinite-dimensional duality, humanitarian logistics, equilibrium problems, cybersecurity, and computational procedures. She is the author or editor of 6 books and has published several papers in national and international journals. She is also director of various international workshops and has served on the scientific committees of several national and international conferences.

Laura Scrimali is an Associate Professor of Operations Research at the University of Catania. Her areas of research include convex optimization, variational inequality theory, numerical methods, sustainable development, and equilibrium problems in transportation, economic and finance. She has published several papers in national and international journals and has served on the scientific committees of various national and international conferences.

Klappentext

This book gathers the contributions of the international conference "Optimization and Decision Science" (ODS2018), which was held at the Hotel Villa Diodoro, Taormina (Messina), Italy on September 10 to 13, 2018, and was organized by AIRO, the Italian Operations Research Society, in cooperation with the DMI (Department of Mathematics and Computer Science) of the University of Catania (Italy). The book offers state-of-the-art content on optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It highlights a range of real-world problems that are both challenging and worthwhile, using models and methods based on continuous and discrete optimization, network optimization, simulation and system dynamics, heuristics, metaheuristics, artificial intelligence, analytics, and multiple-criteria decision making. Given its scope of coverage, it will benefit not only researchers and practitioners working in theseareas, but also the operations research community as a whole.

Inhalt

1 N.G. Hall, INFORMS, Analytics, Research and Challenges.- 2 P.M. Pardalos, On the Limits of Computation in Non-convex Optimization.- 3 M.G. Speranza, Operations research in transportation and supply chain management.- 4 M. Aghelinejad, Y. Ouazene, and A. Yalaoui, Energy optimization of a speed-scalable and multi-states single machine scheduling problem.- 5 A. Alfieri, G. Nicosia, A. Pacifici, and U. Pferschy, Constrained job rearrangements on a single machine.- 6 R. Aringhieri, G. Bonetta, and D. Duma, Reducing overcrowding at the emergency department through a different physician and nurse shift organisation: a case study.- 7 R. Aringhieri, D. Duma, and F. Polacchi, Integrating mental health into a primary care system: a hybrid simulation model.- 8 L. Bigram, P. Hosein, and J. Earle, Cost Minimization of Library Electronic Subscriptions.- 9 M. E. Bruni, D. Nguyen, P. Beraldi, and A. Violi, The Mahalanobis distance for feature selection using genetic algorithms: an application to BCI.- 10 V. Cacchiani, C. Contreras-Bolton, J.W. Escobar, L. M. Escobar-Falcon, R. Linfati, and P. Toth, An Iterated Local Search Algorithm for the Pollution Traveling Salesman Problem.- 11 A.S. Cacciapuoti, M. Caleffi, A. Masone, A. Sforza, and C. Sterle, Data Throughput Optimization for Vehicle to Infrastructure Communications.- 12 A. Candelieri, I. Giordani, B.G. Galuzzi, and F. Archetti, Evaluation of cascade effects for transit networks.- 13 F. Carrabs, R. Cerulli, C. D'Ambrosio, and A. Raiconi, Maximizing lifetime for a zone monitoring problem through reduction to target coverage.- 14 M. Casazza, A. Ceselli, and A. Taverna, Mathematical formulations for the optimal design of Resilient Shortest Paths.- 15 R. Cavagnini, L. Bertazzi, and F. Maggioni, A two-stage stochastic model for distribution logistics with transshipment and backordering: stochastic vs deterministic solutions.- 16 M. Cavola, A. Diglio, and C. Piccolo, An Optimization Model to rationalize Public Service Facilities.- 17 C. Cerrone, M. Gentili, C. D'Ambrosio, and R. Cerulli, An Efficient and Simple Approach to Solve a Distribution Problem.- 18 T. Chernonoga, First-time interaction under revenue-sharing contract and asymmetric beliefs of supply-chain members.- 19 X. Chou, L.M. Gambardella, and R. Montemanni, Monte Carlo Sampling for the Probabilistic Orienteering Problem.- 20 C. Ciancio, A. De Maio, D. Lagana , F. Santoro, and A. Violi, A Genetic Algorithm Framework for the Orienteering Problem with Time Windows.- 21 G. Colajanni and P. Daniele, A Financial Optimization Model with Short Selling and transfer of securities.- 22 P. Daniele and L. Scrimali, Strong Nash Equilibria for Cybersecurity Investments with Nonlinear Budget Constraints.- 23 M. De Falco, N. Mastrandrea, W. Mansoor, and L. Rarità, Situation Awareness and environmental factors: the EVO oil production.- 24 A. De Maio, A. Violi, D. Lagana, and P. Beraldi, A freight adviser for a delivery logistics service e-marketplace.- 25M. Di Gangi and A. Vitetta, Specification and aggregate calibration of a quantum route choice model from traffic counts.- 26 L. Di Puglia Pugliese, D. Zorbas, and F. Guerriero, Modeling and solving the packet routing problem in industrial IoT networks.- 27 M. Gallo, L. D'Acierno, An Origin-Destination Based Parking Pricing Policy for Improving Equity in Urban Transportation.- 28 B. G. Galuzzi, R. Perego, Antonio Candelieri, and Francesco Archetti, Bayesian Optimization for Full Waveform Inversion.- 29 M. Gaudioso, M. F. Monaco, and M. Sammarra, A decomposition-based heuristic for the truck scheduling problem in a cross-docking terminal.- 30 R. Guido, V. Solina, G. Mirabelli, and D. Conforti, Offline patient admission, room and surgery scheduling problems.- 31 J. Gwinner and F.S. Winkler, Equilibria on networks with uncertain data - a comparison of different solution approaches.- 32 S. Harrod, Construction of Discrete Time Graphs from Real Valued Railway Line Data.- 33 S. Hulagu and H.B. Celikoglu, An Integer Linear Programming Formulation for Routing Problem of University Bus Service.- 34 G. Inturri, N. Giuffrida, M. Ignaccolo, M. Le Pira, A. Pluchino and A. Rapisarda, Testing Demand Responsive Shared Transport Services Via Agent Based Simulations.- 35 K. Kogan and F. El Ouardighi, Production Control in a competitive environment with incomplete informati…