Sforza, Antonio

Optimization and Decision Science: Methodologies and Applications

Sforza, Antonio - Optimization and Decision Science: Methodologies and Applications, ebook


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Table of contents

Part I. Invited Lectures

1. Robust Network Control and Disjunctive Programming
Daniel Bienstock

2. Data Science Meets Optimization
Patrick Causmaecker

3. From Mixed-Integer Linear to Mixed-Integer Bilevel Linear Programming
Matteo Fischetti

Part II. Data Science

4. Outperforming Image Segmentation by Exploiting Approximate K-Means Algorithms
Flora Amato, Mario Barbareschi, Giovanni Cozzolino, Antonino Mazzeo, Nicola Mazzocca, Antonio Tammaro

5. Approximate Decision Tree-Based Multiple Classifier Systems
Mario Barbareschi, Cristina Papa, Carlo Sansone

6. Look-Up Tables for Efficient Non-Linear Parameters Estimation
Stefano Marrone, Gabriele Piantadosi, Mario Sansone, Carlo Sansone

7. On the UTA Methods for Solving the Model Selection Problem
Valentina Minnetti

8. The Importance to Manage Data Protection in the Right Way: Problems and Solutions
Hassan Mokalled, Daniele Debertol, Ermete Meda, Concetta Pragliola

9. The Use of Configurational Analysis in the Evaluation of Real Estate Dynamics
Enrico G. Caldarola, Valerio Pinto, Antonio M. Rinaldi

10. A Partitioning Based Heuristic for a Variant of the Simple Pattern Minimality Problem
Maurizio Boccia, Adriano Masone, Antonio Sforza, Claudio Sterle

Part III. Health Care

11. Patient–Centred Objectives as an Alternative to Maximum Utilisation: Comparing Surgical Case Solutions
Roberto Aringhieri, Davide Duma

12. A Hierarchical Multi-objective Optimisation Model for Bed Levelling and Patient Priority Maximisation
Roberto Aringhieri, Paolo Landa, Simona Mancini

13. Multi-Classifier Approaches for Supporting Clinical Diagnosis
Maria Carmela Groccia, Rosita Guido, Domenico Conforti

14. Offline Patient Admission Scheduling Problems
Rosita Guido, Vittorio Solina, Domenico Conforti

15. Stochastic Dynamic Programming in Hospital Resource Optimization
Marco Papi, Luca Pontecorvi, Roberto Setola, Fabrizio Clemente

Part IV. Heuristics and Metaheuristics

16. Column Generation Embedding Carousel Greedy for the Maximum Network Lifetime Problem with Interference Constraints
Francesco Carrabs, Carmine Cerrone, Ciriaco D’Ambrosio, Andrea Raiconi

17. A Heuristic for Multi-attribute Vehicle Routing Problems in Express Freight Transportation
Luigi De Giovanni, Nicola Gastaldon, Ivano Lauriola, Filippo Sottovia

18. Global Optimization Procedure to Estimate a Starting Velocity Model for Local Full Waveform Inversion
Bruno Galuzzi, Elena Zampieri, Eusebio Stucchi

19. Ant Colony Optimization Algorithm for Pickup and Delivery Problem with Time Windows
M. Noumbissi Tchoupo, A. Yalaoui, L. Amodeo, F. Yalaoui, F. Lutz

Part V. Innovative Applications

20. Initialization of Optimization Methods in Parameter Tuning for Computer Vision Algorithms
Andrea Bessi, Daniele Vigo, Vincenzo Boffa, Fabio Regoli

21. Using OR + AI to Predict the Optimal Production of Offshore Wind Parks: A Preliminary Study
Martina Fischetti, Marco Fraccaro

22. Mathematical Programming Bounds for Kissing Numbers
Leo Liberti

23. Learning Greedy Strategies at Secondary Schools: An Active Approach
Violetta Lonati, Dario Malchiodi, Mattia Monga, Anna Morpurgo

24. Comparison of IP and CNF Models for Control of Automated Valet Parking Systems
Abdullah Makkeh, Dirk Oliver Theis

Part VI. Location

25. A Districting Model to Support the Redesign Process of Italian Provinces
Giuseppe Bruno, Antonio Diglio, Alessia Melisi, Carmela Piccolo

26. A Stochastic Maximal Covering Formulation for a Bike Sharing System
Claudio Ciancio, Giuseppina Ambrogio, Demetrio Laganá

27. A Model and Algorithm for Solving the Landfill Siting Problem in Large Areas
Mariano Gallo

28. Optimal Content Distribution and Multi-resource Allocation in Software Defined Virtual CDNs
Jaime Llorca, Antonia M. Tulino, Antonio Sforza, Claudio Sterle

29. Facility Location with Item Storage and Delivery
Stefano Coniglio, Jörg Fliege, Ruth Walton

30. A Shared Memory Parallel Heuristic Algorithm for the Large-Scale p-Median Problem
Igor Vasilyev, Anton Ushakov

Part VII. Multi-objective Optimization

31. Robust Plasma Vertical Stabilization in Tokamak Devices via Multi-objective Optimization
Gianmaria Tommasi, Adriano Mele, Alfredo Pironti

32. Performance Analysis of Single and Multi-objective Approaches for the Critical Node Detection Problem
Luca Faramondi, Gabriele Oliva, Roberto Setola, Federica Pascucci, Annunziata Esposito Amideo, Maria Paola Scaparra

33. Stable Matching with Multi-objectives: A Goal Programming Approach
Mangesh Gharote, Nitin Phuke, Rahul Patil, Sachin Lodha

34. On Relation of Possibly Efficiency and Robust Counterparts in Interval Multiobjective Linear Programming
Milan Hladík

35. Sustainable Manufacturing: An Application in the Food Industry
Maria Elena Nenni, Rosario Micillo

Part VIII. Optimization Under Uncertainty

36. The Optimal Energy Procurement Problem: A Stochastic Programming Approach
P. Beraldi, A. Violi, G. Carrozzino, M. E. Bruni

37. Best and Worst Values of the Optimal Cost of the Interval Transportation Problem
R. Cerulli, C. D’Ambrosio, M. Gentili

38. A Queueing Networks-Based Model for Supply Systems
Massimo Falco, Nicola Mastrandrea, Luigi Rarità

39. Capital Asset Pricing Model—A Structured Robust Approach
Raquel J. Fonseca

40. On the Properties of Interval Linear Programs with a Fixed Coefficient Matrix
Elif Garajová, Milan Hladík, Miroslav Rada

41. Bounding Multistage Stochastic Programs: A Scenario Tree Based Approach
Francesca Maggioni, Elisabetta Allevi

42. A Polyhedral Study of the Robust Capacitated Edge Activation Problem
Sara Mattia

43. Performance Evaluation of a Push Merge System with Multiple Suppliers, an Intermediate Buffer and a Distribution Center with Parallel Channels: The Erlang Case
Despoina Ntio, Michael Vidalis, Stelios Koukoumialos, Alexandros Diamantidis

44. A Push Shipping-Dispatching Approach for High-Value Items: From Modeling to Managerial Insights
Jean Respen, Nicolas Zufferey

Part IX. Packing and Cutting

45. Optimization Models for Cut Sequencing
Claudio Arbib, Pasquale Avella, Maurizio Boccia, Fabrizio Marinelli, Sara Mattia

46. Bin Packing Problems with Variable Pattern Processing Times: A Proof-of-concept
Fabrizio Marinelli, Andrea Pizzuti

47. Upper Bounds Categorization for Constrained Two-Dimensional Guillotine Cutting
Mauro Russo, Antonio Sforza, Claudio Sterle

Part X. Railway and Maritime Optimization

48. Some Complexity Results for the Minimum Blocking Items Problem
Tiziano Bacci, Sara Mattia, Paolo Ventura

49. A MILP Algorithm for the Minimization of Train Delay and Energy Consumption
Teresa Montrone, Paola Pellegrini, Paolo Nobili

50. A MILP Reformulation for Train Routing and Scheduling in Case of Perturbation
Paola Pellegrini, Grégory Marlière, Raffaele Pesenti, Joaquin Rodriguez

Part XI. Routing

51. The Impact of a Clustering Approach on Solving the Multi-depot IRP
Luca Bertazzi, Annarita De Maio, Demetrio Laganà

52. Optimal Paths for Dual Propulsion Vehicles on Real Street Network Graphs
Giovanni Capobianco, Carmine Cerrone, Raffaele Cerulli, Giovanni Felici

53. On the Forward Shortest Path Tour Problem
Francesco Carrabs, Raffaele Cerulli, Paola Festa, Federica Laureana

54. A Flow Formulation for the Close-Enough Arc Routing Problem
Carmine Cerrone, Raffaele Cerulli, Bruce Golden, Rosa Pentangelo

55. A Mesoscopic Approach to Model Route Choice in Emergency Conditions
Massimo Di Gangi, Antonio Polimeni

56. Last-Mile Deliveries by Using Drones and Classical Vehicles
Luigi Di Puglia Pugliese, Francesca Guerriero

57. A Scenario Planning Approach for Shelter Location and Evacuation Routing
Annunziata Esposito Amideo, Maria Paola Scaparra

58. The Vehicle Routing Problem with Occasional Drivers and Time Windows
Giusy Macrina, Luigi Di Puglia Pugliese, Francesca Guerriero, Demetrio Laganà

Part XII. Scheduling

59. Preemptive Scheduling of a Single Machine with Finite States to Minimize Energy Costs
Mohammad Mohsen Aghelinejad, Yassine Ouazene, Alice Yalaoui

60. An Optimization Model for the Outbound Truck Scheduling Problem at Cross-Docking Platforms
Antonio Diglio, Andrea Genovese, Carmela Piccolo

61. Min-Max Regret Scheduling to Minimize the Total Weight of Late Jobs with Interval Uncertainty
Maciej Drwal

62. Practical Solution to Parallel Machine Scheduling Problems
E. Parra

63. Decomposition and Feasibility Restoration for Cascaded Reservoir Management
Wim Ackooij, Claudia D’Ambrosio, Raouia Taktak

Keywords: Mathematics, Optimization, Operations Research/Decision Theory, Big Data/Analytics

Publication year
Springer Proceedings in Mathematics & Statistics
Natural Sciences
Printed ISBN

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