Raffaele Cerulli – författare

This book constitutes the refereed proceedings of the 9th International Conference on Computational Logistics, ICCL 2018, held in Vietri sul Mare, Italy, in October 2018. The 32 full papers presented were carefully reviewed and selected from 71 submissions. They are organized in topical sections as follows: maritime shipping and routing, container handling and container terminals, vehicle routing and multi-modal transportation, network design and scheduling, logistics oriented combinatorial optimization.

This book collects selected contributions from the international conference “Optimization and Decision Science” (ODS2020), which was held online on November 19, 2020, and organized by AIRO, the Italian Operations Research Society. The book offers new and original contributions on optimization, decisions science and prescriptive analytics from both a methodological and applied perspective, using models and methods based on continuous and discrete optimization, graph theory and network optimization, analytics, multiple criteria decision making, heuristics, metaheuristics, and exact methods.In addition to more theoretical contributions, the book chapters describe models and methods for addressing a wide diversity of real-world applications, spanning health, transportation, logistics, public sector, manufacturing, and emergency management.Although the book is aimed primarily at researchers and PhD students in the Operations Research community, the interdisciplinary content makes it interesting for practitioners facing complex decision-making problems in the afore-mentioned areas, as well as for scholars and researchers from other disciplines, including artificial intelligence, computer sciences, economics, mathematics, and engineering.

This book collects selected contributions from the international conference “Optimization and Decision Science” (ODS2020), which was held online on November 19, 2020, and organized by AIRO, the Italian Operations Research Society. The book offers new and original contributions on optimization, decisions science and prescriptive analytics from both a methodological and applied perspective, using models and methods based on continuous and discrete optimization, graph theory and network optimization, analytics, multiple criteria decision making, heuristics, metaheuristics, and exact methods.In addition to more theoretical contributions, the book chapters describe models and methods for addressing a wide diversity of real-world applications, spanning health, transportation, logistics, public sector, manufacturing, and emergency management.Although the book is aimed primarily at researchers and PhD students in the Operations Research community, the interdisciplinary content makes it interesting for practitioners facing complex decision-making problems in the afore-mentioned areas, as well as for scholars and researchers from other disciplines, including artificial intelligence, computer sciences, economics, mathematics, and engineering.

This book collects selected contributions from the international conference “Optimization and Decision Science” (ODS2020), which was held online on November 19, 2020, and organized by AIRO, the Italian Operations Research Society. The book offers new and original contributions on optimization, decisions science and prescriptive analytics from both a methodological and applied perspective, using models and methods based on continuous and discrete optimization, graph theory and network optimization, analytics, multiple criteria decision making, heuristics, metaheuristics, and exact methods.In addition to more theoretical contributions, the book chapters describe models and methods for addressing a wide diversity of real-world applications, spanning health, transportation, logistics, public sector, manufacturing, and emergency management.Although the book is aimed primarily at researchers and PhD students in the Operations Research community, the interdisciplinary content makes it interesting for practitioners facing complex decision-making problems in the afore-mentioned areas, as well as for scholars and researchers from other disciplines, including artificial intelligence, computer sciences, economics, mathematics, and engineering.

This book constitutes the proceedings of the Third Decision Science Alliance International Summer Conference, DSA ISC 2025, held in Catania, Italy, in June 2025.The 25 full papers and 7 short papers were included in this book were carefully reviewed and selected from 70 submissions. This edition focused on Intelligent Systems and Decision Making: Human Insights in the Era of AI theme, with particular focus on the new frontiers of AI-driven Decision Making in academic and industrial research.

This book constitutes the proceedings of the Third Decision Science Alliance International Summer Conference, DSA ISC 2025, held in Catania, Italy, in June 2025.The 25 full papers and 7 short papers were included in this book were carefully reviewed and selected from 70 submissions. This edition focused on Intelligent Systems and Decision Making: Human Insights in the Era of AI theme, with particular focus on the new frontiers of AI-driven Decision Making in academic and industrial research.

This book investigates the role of optimization methods and data science techniques in improving both internal and external logistics operations, with particular emphasis on last-mile logistics. It explores mathematical models, heuristics, and data-driven approaches for enhancing routing, inventory management, resource allocation, and operational planning under real-world constraints. Special attention is given to the civil applications of emerging technologies, including artificial intelligence, IoT, AGV and UAV, as key enablers of more efficient and sustainable logistics processes. The book also examines the environmental and organizational challenges facing contemporary logistics, with the objective of reducing emissions, congestion, energy consumption, and operational inefficiencies across both urban and rural contexts. By integrating methodological perspectives with practical case studies, it provides a rigorous framework for the design of smarter and more sustainable systems.

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Symposium on Combinatorial Optimization, ISCO 2016, held in Vietri sul Mare, Italy, in May 2016. The 38 revised full papers presented in this book were carefully reviewed and selected from 98 submissions. They present original research on all aspects of combinatorial optimization, such as algorithms and complexity; mathematical programming; operations research; stochastic optimization; and graphs and combinatorics.