Overview
- Overview of real problems in various application areas that are solved with the proposed methods
- Novel ideas from methodological and applied perspectives
- Contributions from significant authors in the international scientific community
- Of interest to scholars and researchers from many disciplines
Part of the book series: AIRO Springer Series (AIROSS, volume 3)
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Table of contents (43 chapters)
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Front Matter
Keywords
About this book
The contributions included in the volume are drawn from presentations at ODS2019 – International Conference on Optimization and Decision Science, which was the 49th annual meeting of the Italian Operations Research Society (AIRO) held at Genoa, Italy, on 4-7 September 2019. This book presents very recent results in the field of Optimization and Decision Science. While the book is addressed primarily to the Operations Research (OR) community, the interdisciplinary contents ensure that it will also be of very high interest for scholars and researchers from many scientific disciplines, including computer sciences, economics, mathematics, and engineering. Operations Research is known as the discipline of optimization applied to real-world problems and to complex decision-making fields. The focus is on mathematical and quantitative methods aimed at determining optimal or near-optimal solutions in acceptable computation times. This volume not only presents theoretical results but also covers real industrial applications, making it interesting for practitioners facing decision problems in logistics, manufacturing production, and services. Readers will accordingly find innovative ideas from both a methodological and an applied perspective.
Editors and Affiliations
About the editors
Massimo Paolucci received a PhD in electronic and computer science in 1990. He is Associate Professor in Operations Research at the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS) of the University of Genoa. His research activities are focused on metaheuristic and matheuristic algorithms for combinatorial optimization problems, planning and scheduling, decision support systems, and multi-criteria methods. Reference fields of application are intermodal logistics and shipping, and manufacturing.
Anna Sciomachen is Full Professor of Operations Research at the Department of Economics and Business Studies, University of Genoa, where she is Coordinator of the Master of Science in Management of Maritime and Port Enterprises and teaches Optimization and simulation methods for logistics. She is a past President of the Italian Society of Operations Research. Her main research fields are: optimization models and heuristic methods in distributive logistics and multimodal transportation networks, liner problems, stowage planning, simulation techniques for performance analysis, and location-routing problems.
Pierpaolo Uberti received his PhD in Mathematics for Financial Markets from the University of Milano-Bicocca in 2010 for a dissertation on "Higher Moments Asset Allocation". Since 2011 he has been a researcher at the University of Genoa. His research interests cover the fields of quantitative finance, optimization, portfolio selection, and risk measures.
Bibliographic Information
Book Title: Advances in Optimization and Decision Science for Society, Services and Enterprises
Book Subtitle: ODS, Genoa, Italy, September 4-7, 2019
Editors: Massimo Paolucci, Anna Sciomachen, Pierpaolo Uberti
Series Title: AIRO Springer Series
DOI: https://doi.org/10.1007/978-3-030-34960-8
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-34959-2Published: 26 January 2020
Softcover ISBN: 978-3-030-34962-2Published: 26 January 2021
eBook ISBN: 978-3-030-34960-8Published: 25 January 2020
Series ISSN: 2523-7047
Series E-ISSN: 2523-7055
Edition Number: 1
Number of Pages: XI, 503
Number of Illustrations: 28 b/w illustrations, 49 illustrations in colour
Topics: Operations Research, Management Science, Calculus of Variations and Optimal Control; Optimization, Graph Theory, Game Theory, Economics, Social and Behav. Sciences, Math Applications in Computer Science