Optimization and Decision Science: Operations Research, Inclusion and Equity by Cappanera, Paola; Lapucci, Matteo; Schoen, Fabio;

Hosszú leírás:

This volume collects peer-reviewed short papers presented at the Optimization and Decision Science conference (ODS 2022) held in Florence (Italy) from August 30th to September 2^nd, 2022, organized by the Global Optimization Laboratory within the University of Florence and AIRO (the Italian Association for Operations Research).

The book includes contributions in the fields of operations research, optimization, problem solving, decision making and their applications in the most diverse domains. Moreover, a special focus is set on the challenging theme Operations Research: inclusion and equity.

The work offers 30 contributions, covering a wide spectrum of methodologies and applications. Specifically, they feature the following topics: (i) Variational Inequalities, Equilibria and Games, (ii) Optimization and Machine Learning, (iii) Global Optimization, (iv) Optimization under Uncertainty, (v) Combinatorial Optimization, (vi) Transportationand Mobility, (vii) Health Care Management, and (viii) Applications.

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.

Tartalomjegyzék:

1 Georgia Fargetta, Laura Rosa Maria Scrimali. Time-Dependent Generalized Nash Equilibria in Social Media Platforms.- 2 Annamaria Barbagallo, Serena Guarino Lo Bianco. A general Cournot-Nash equilibrium principle and applications to the COVID-19 pandemic.- 3 M. Ángeles Caraballo, Asunción Zapata, Luisa Monroy, Amparo Mármol. Environmental damage reduction: when countries face conflicting objectives.- 4 Lorenzo Lampariello, Simone Sagratella, Valerio Giuseppe Sasso. Nonsmooth Hierarchical Multi Portfolio Selection.- 5 Mauro Passacantando, Fabio Raciti. A multiclass network international migration model under shared regulations.- 6 Luca Bravi, Andrew Harbourne-Thomas, Alessandro Lori, Peter Mitchell, Samuele Salti, Leonardo Taccari, Francesco Sambo. GPS data mining to infer fleet operations for personalised product upselling.- 7 Cristiano Cervellera, Danilo Macciò, Francesco Rebora. Voronoi recursive binary trees for the optimization of nonlinear functionals.- 8 Alberto Ceselliand Elia Togni. Mathematical Programming and Machine Learning for a Task Allocation Game.- 9 Leo Liberti, Benedetto Manca, Antoine Oustry, and Pierre-Louis Poirion. Random projections for semidefinite programming.- 10 Ana Garcia-Bernabeu, Adolfo Hilario-Caballero, José Vicente Salcedo, Francisco Salas-Molina. Approaches to ESG - Integration in Portfolio Optimization using MOEAs.- 11 Milan Hladík. Complexity Issues in Interval Linear Programming.- 12 Patrizia Beraldi and Sara Khodaparasti. Dynamic Pricing in the Electricity Retail Market: A Stochastic Bi-Level Approach.- 13 Edoardo Fadda, Daniele Giovanni Gioia and Paolo Brandimarte. Robust Approaches for a Two-Stage Assembly-to-Order Problem.- 14 Giulia Ansuini, Antonio Frangioni, Laura Galli, Giovanni Nardini, Giovanni Stea. Bi-dimensional Assignment in 5G Periodic Scheduling.- 15 Meisam Pour-Massahian-Tafti, Matthieu Godichaud and Lionel Amodeo. Capacitated Disassembly Lot-Sizing Problem with Disposal Decisions for Multiple Product Types with Parts Commonality.- 16 Nikola Obrenović, Selin Ataç, Stefano Bortolomiol, Sanja Brdar, Oskar Marko,Vladimir Crnojević. The Crop Plant Scheduling Problem.- 17 Elena Ausonio, Patrizia Bagnerini, Mauro Gaggero. A MILP Formulation and a Metaheuristic Approach for the Scheduling of Drone Landings and Payload Changes on an Automatic Platform.- 18 Rosita Guido, Gabriele Zangara, Giuseppina Ambrogio, Domenico Conforti. A flexible job shop scheduling model for Sustainable Manufacturing.- 19 Annarita De Maio, Roberto Musmanno, Aurora Skrame, Francesca Vocaturo. Selection of Cultural Sites via Optimization.- 20 Carla De Francesco and Luigi De Giovanni. Integer Linear Programming Formulations for the Fleet Quickest Routing Problem on Grids.- 21 Massimo Di Gangi and Antonio Polimeni. C-Weibit discrete choice model: a path based approach.- 22 Cristiano Cervellera, Danilo Macciò, Francesco Rebora. Receding-horizon dynamic optimization of port-city traffic interactions over shared urban infrastructure.- 23 David Di Lorenzo, Tommaso Bianconcini, Leonardo Taccari, Marco Gualtieri, Paolo Raiconi, Alessandro Lori. Ten years of Routist: vehicle routing lessons learned from practice.- 24 Maksim Lalić, Nikola Obrenović, Sanja Brdar, Ivan Luković, Michel Bierlaire. Assisting Passengers on Rerouted Train Service Using Vehicle Sharing System.- 25 Maurizio Boccia, Andrea Mancuso, Adriano Masone, Francesco Messina, Antonio Sforza, Claudio Sterle. Optimization for surgery department management: an application to a hospital in Naples.- 26 Christian Piermarini, Massimo Roma. The Ambulance Diversion phenomenon in an Emergency Department network: a case study.- 27 Nicolas Zufferey, Marie-Sklaerder Vié,Leandro Coelho. Reducing the supply-chain nervosity thanks to flexible planning.- 28 EP. Mezatio, MM. Aghelinejad, L. Amodeo, I. Ferreira. Design forward and reverse closed-loop supply chain to improve economic and environmental performances.- 29 Tatiana Grimard, Nadia Lehoux and Luc Lebel.Supply chain design and cost allocation in a collaborative three-echelon supply network: A literature review.- 30 S. Baldassarre, G. Bruno, M. Cavola and E. Pipicelli. A mathematical model to locate Services of General Economic Interest.