Advances in Optimization and Decision Science for Society, Services and Enterprises: ODS, Genoa, Italy, September 4-7, 2019 [Paperback]

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.

1 C. Cervellera et al., A receding horizon approach for berth allocation based on random search optimization.- 2 G. Di Tollo et al., Integrating ship movement scheduling and tug assignment within a canal harbor.- 3 G. Auricchio et al., The Maximum Nearby Flow Problem.- 4 T. Alves de Queiroz et al., Linear models for portfolio selection with real features.- 5 M. Maggi and P. Uberti, Portfolio Leverage in Asset Allocation Problems.- 6 V. Cacchiani et al., Energy-Efficient Train Control.- 7 C. Cervellera and D. Macci?, Gradient boosting with extreme learning machines for the optimization of nonlinear functionals.- 8 M. Benini et al., A MILP model for biological sample transportation in lÓ#