This book collects selected contributions to the conference ODS 2025, entitled Mathematics, Algorithms, and the Art and Science of Decision-Making (Milan, September 1st4th, 2025). This book encompasses all subfields of operations research/management science, mathematical optimization, problem-solving, and decision-making, as well as the art of their applications in any industry and sector. As a contemporary and relevant example, this book features interdisciplinary works exploring connections between model-based mathematical optimization algorithms and data-based learning methods. This book is aimed primarily at researchers, Ph.D. students, and practitioners in the Operations Research community. However, due to its interdisciplinary contents, this book is also of high interest to students and researchers from other disciplines.

Presents latest advances in Decision Science: cutting-edge research in optimization, problem-solving and decision-making Links with challenges across various industries and data-driven learning for real-world impact Written by leading experts in the field

Autorentext

Michele Barbato is a Fixed-Term Tenure Track Researcher (RTT) at the Department of Computer Science Giovanni Degli AntoniUniversità degli Studi di Milano. He holds a Ph.D. in Computer Science from Université Paris 13Sorbonne Paris Cité. He has published extensively in top-tier international journals, with contributions covering both applied and theoretical aspects of mathematical programming and operations research. His recent research activity focuses on mathematical programming methods for privacy-preserving and secure machine learning.

Nicola Bianchessi is an associate professor at the Department of Computer Science Giovanni Degli AntoniUniversità degli Studi di Milano. His research focuses on the design and development of models and of exact and heuristic algorithms for combinatorial NP-hard optimization problems, with a primary emphasis on vehicle routing and related logistics problems. He has collaborated with more than 25 researchers at national and international level, published over 30 papers in international peer-reviewed journals, participated in several funded research projects, and serves as a reviewer for numerous leading journals in operations research, receiving two awards for outstanding reviewing.

Alberto Boggio Tomasaz is a research fellow at the Department of Computer Science Giovanni Degli AntoniUniversità degli Studi di Milano. He earned his Ph.D. from the same university. His research focuses on interdiction problems, and he has published several articles in international scientific journals and presented his work at international conferences.

Inhalt

A comparative analysis of game theory solution concepts for feature selection.- A Network Game Related to the PageRank Centrality.- Alternative Payment Strategies: Adapting to Change in the Mobile App Industry.- How Does the Identity of the Leader in a Supply Chain of Perishable Products Affect Pricing, Profits and Product Freshness?.- Investment Decisions for Perfect and Imperfect Competition in Ireland's Electricity Market.- *Spatial price equilibrium networks with flow-dependent arc multipliers and excesses.- Bilevel Design and Pricing of EV Charging Stations with Deviation-Flow.- Bilevel optimization methods for transformer-rating optimization.- On the complexity of the clique interdiction problem on K_3-free graphs.- A Bi-Objective approach to Penalized Reload Cost Path Problem.- From warehouse to store: A multi-day shipment planning and consolidation based on lexicographic multi-objective optimization.- On a Hierarchy of Integer Quadratic Programming Polytopes.- On Implicit Concave Structures in Half-Quadratic Methods for Signal Reconstruction.- A Simulation-Optimization approach for Multimodal Transportation by Incorporating Waiting Time as a Key Decision Variable.- Optimization of mobility policies in port-city scenarios through simulation and surrogate models.- Simulation-optimization approaches for enhancing ports operational efficiency.