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Optimization and Data Science: Trends and Applications

5th AIROYoung Workshop and AIRO PhD School 2021 Joint Event

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Adriano Masone

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

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  2. Veronica Dal Sasso

    1. Optrail, Rome, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Valentina Morandi

    1. Faculty of Science and Technology, Free University of Bozen, Bolzano, Italy

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  • Provides a fast point of entry into the most recent research topics on optimization and data science
  • Territorial and industrial systems can potentially benefit from the recent applications presented
  • Includes contributions on the topic data science for combinatiorial optimization

Part of the book series: AIRO Springer Series (AIROSS, volume 6)

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xi
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  2. Data Science and Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Reinforcement Learning for the Knapsack Problem

      • Jacopo Pierotti, Maximilian Kronmueller, Javier Alonso-Mora, J. Theresia van Essen, Wendelin Böhmer
      Pages 3-13

    3. Potential Sales Estimates of a New Store

      • Jacopo Tozzi, Francesco Guarino
      Pages 15-24

    4. Sells Optimization Through Product Rotation

      • Jacopo Tozzi, Francesco Guarino
      Pages 25-36

  3. Healthcare

    1. Front Matter

      Pages 37-37
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    2. Gathering Avoiding Centralized Pedestrian Advice Framework: An Application for Covid-19 Outbreak Restrictions

      • Veronica DalSasso, Valentina Morandi
      Pages 39-49

    3. A MILP Formulation for the Reorganization of the Blood Supply Chain in Italian Regions

      • Antonio Diglio, Andrea Mancuso, Adriano Masone, Carmela Piccolo, Claudio Sterle
      Pages 51-66

  4. Logistics

    1. Front Matter

      Pages 67-67
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    2. Instance Generation Framework for Green Vehicle Routing

      • Matheus Diógenes Andrade, Fábio Luiz Usberti
      Pages 69-79

    3. An Optimization Model for Service Requests Management in a 5G Network Architecture

      • Gabriella Colajanni, Daniele Sciacca
      Pages 81-98

    4. A MIP Model for Freight Consolidation in Road Transportation Considering Outsourced Fleet

      • Thiago Vieira, Pedro Munari
      Pages 99-109

  5. Optimization for Control Systems

    1. Front Matter

      Pages 111-111
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    2. Energy-Oriented Inter-Vehicle Distance Optimization for Heterogeneous E-Platoons

      • Bianca Caiazzo, Angelo Coppola, Alberto Petrillo, Stefania Santini
      Pages 113-125

    3. Optimization-Based Assessment of Initial-State Opacity in Petri Nets

      • Gianmaria De Tommasi, Carlo Motta, Alberto Petrillo, Stefania Santini
      Pages 127-138

    4. Eco-Driving Adaptive Cruise Control via Model Predictive Control Enhanced with Improved Grey Wolf Optimization Algorithm

      • Raffaele Cappiello, Fabrizio Di Rosa, Alberto Petrillo, Stefania Santini
      Pages 139-153

  6. OR in Industry

    1. Front Matter

      Pages 155-155
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    2. Optimizing and Evaluating a Maintenance Strategy for Multi-Component Systems

      • Lucía Bautista Bárcena, Inmaculada T. Castro
      Pages 157-168

    3. Metal Additive Manufacturing: Nesting vs. Scheduling

      • Ibrahim Kucukkoc
      Pages 169-180

    4. System and Methods for Blockchain-Inspired Digital Game Asset Management

      • Gianluca Ragnoni
      Pages 181-188
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Keywords

About this book

This proceedings volume collects contributions from the 5th AIRO Young Workshop and AIRO PhD School 2021 joint event on “Optimization and Data Science: Trends and Applications”, held online, from February 8 to 12, 2021. The joint event was organized by AIROYoung representatives and the Operations Research Group of the Department of Electrical Engineering and Information Technology of the University “Federico II” of Naples.

The selected contributions represent the state-of-the-art knowledge related to different branches of research, such as data science, machine learning and combinatorial optimization. Therefore, this book is primarily addressed to researchers and PhD students of the operations research community. However, due to its interdisciplinary content, it will be of high interest for other closely related research communities. Moreover, this volume not only presents theoretical results but also covers real applications in computer science, engineering, economics, healthcare, and logistics, making it interesting for practitioners facing complex decision-making problems in these areas.

Editors and Affiliations

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

    Adriano Masone

  • Optrail, Rome, Italy

    Veronica Dal Sasso

  • Faculty of Science and Technology, Free University of Bozen, Bolzano, Italy

    Valentina Morandi

About the editors

Adriano Masone is a Postdoctoral Researcher at the Department of Electrical Engineering and Information Technology of the University of Naples “Federico II.” He obtained his PhD in Information Technology and Electrical Engineering in 2020 at the University of Naples “Federico II.” In 2018–2019, he was a Visiting Scholar at the Robert H. Smith School of Business of the University of Maryland, Maryland, USA. His areas of research include exact and heuristic solutionmethods for complex combinatorial and network optimization problems with application to healthcare, transportation, logistics, production planning and scheduling, among others.


Veronica Dal Sasso holds a PhD in Mathematics from the University of Padova. After the completion of the PhD, she held a postdoc at Lancaster University, where she was involved in the OptiFrame project, a project funded by the European Union under the Horizon 2020 agreement. In 2018, she moved to Rome and started working at Optrail as Operations Research Scientist. Optrail is a company devoted to providing innovative decision support solutions for the railway industry. She is the founder and current treasurer of AIROYoung, and she was part of the organizing committees for the 3rd, 4th, and 5th AIROYoungWorkshops.


Valentina Morandi is an Assistant Researcher in the Science and Technology faculty at Free University of Bolzano/Bozen. She obtained her PhD in Analytics for Economics and Business in 2017 at the University of Bergamo jointly with the University of Brescia. Her research activities focus on congestion avoiding traffic assignment techniques and fair models for logistics, public transportation, and pedestrians. She teaches Operations Research in the Mechanical Engineering course, and she won the Euregio Best Young Researcher in 2019 for her research project on models for fair vehicular traffic management.

Bibliographic Information

  • Book Title: Optimization and Data Science: Trends and Applications

  • Book Subtitle: 5th AIROYoung Workshop and AIRO PhD School 2021 Joint Event

  • Editors: Adriano Masone, Veronica Dal Sasso, Valentina Morandi

  • Series Title: AIRO Springer Series

  • DOI: https://doi.org/10.1007/978-3-030-86286-2

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-86285-5Published: 02 December 2021

  • Softcover ISBN: 978-3-030-86288-6Published: 03 December 2022

  • eBook ISBN: 978-3-030-86286-2Published: 01 January 2022

  • Series ISSN: 2523-7047

  • Series E-ISSN: 2523-7055

  • Edition Number: 1

  • Number of Pages: XI, 188

  • Number of Illustrations: 24 b/w illustrations, 26 illustrations in colour

  • Topics: Operations Research, Management Science, Discrete Mathematics in Computer Science

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