Advances in Optimization and Decision Science for Society, Services and Enterprises : ODS, Genoa, Italy, September 4-7, 2019. 1st ed. 2019

種類:

電子ブック

責任表示:

edited by Massimo Paolucci, Anna Sciomachen, Pierpaolo Uberti

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2019

著者名:

• Paolucci, Massimo.
• Sciomachen, Anna.
• Uberti, Pierpaolo.
• SpringerLink (Online service)

シリーズ名:

AIRO Springer Series ; 3

ISBN:

9783030349608 [3030349608]    

注記:

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. Macciò, 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 healthcare -- 9 E. Marcelli and R. De Leone, Infinite Kernel Extreme Learning Machine -- 10 A. Betti and M. Gori, Least Action Principles and Well-Posed Learning Problems -- 11 M. Casazza and A. Ceselli, Heuristic data-driven feasibility on Integrated Planning and Scheduling -- 12 M. Barbato et al., Evaluating automated sto
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 applica

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