Advances in Optimization and Decision Science for Society Services and Enterprises ODS Genoa Italy September 4 7 2019 1st Edition by Massimo Paolucci,Anna Sciomachen,Pierpaolo Uberti ISBN 3030349594 978-3030349592

Advances in Optimization and Decision Science for Society, Services and Enterprises: ODS, Genoa, Italy, September 4-7, 2019 1st Edition by Massimo Paolucci, Anna Sciomachen, Pierpaolo Uberti – Ebook PDF Instant Download/Delivery: 3030349594, 978-3030349592

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Product details:

ISBN 10: 3030349594 

ISBN 13: 978-3030349592

Author: Massimo Paolucci, Anna Sciomachen, Pierpaolo Uberti

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.

Table of contents:

1. A receding horizon approach for berth allocation based on random search optimization

2. Integrating ship movement scheduling and tug assignment within a canal harbor

3. The Maximum Nearby Flow Problem

4. Linear models for portfolio selection with real features

5. Portfolio Leverage in Asset Allocation Problems

6. Energy-Efficient Train Control

7. Gradient boosting with extreme learning machines for the optimization of nonlinear functionals

8. A MILP model for biological sample transportation in healthcare

9. Infinite Kernel Extreme Learning Machine

10. Least Action Principles and Well-Posed Learning Problems

11. Heuristic data-driven feasibility on Integrated Planning and Scheduling

12. Evaluating automated storage and retrieval system policies with simulation and optimization

13. Rolling-horizon heuristics for capacitated stochastic inventory problems with forecast updates

14. Paths and matchings in an automated warehouse

15. Coordinating the Emergency Response of Ambulances to Multiple Mass Casualty Incidents using an Optimization-based Approach

16. A game theory model of online content competition

17. A Variational Formulation for a Human Migration Problem

18. Flying safely by bilevel programming

19. Computational evaluation of data driven local search for MIP decompositions

20. An integer programming formulation for University Course Timetabling

21. On the Sizing of Security Personnel Staff while accounting for Overtime Pay

22. Dynamic Tabu Search for Enhancing the Productivity of a Bottle Production Line

23. Swap minimization in nearest neighbour quantum circuits: an ILP formulation

24. A traffic equilibrium nonlinear programming model for optimizing road maintenance investments

25. Opinion dynamics in multi-agent systems under proportional updating and any-to-any influence

26. A new formulation of the single door truck scheduling problem

27. Optimization of car traffic in emergency conditions

28. The Cumulative Capacitated Vehicle Routing Problem with Profits under Uncertainty

29. Dealing with the stochastic home energy management problem

30. Optimization Methods for the Same-Day Delivery Problem

31. Intermodality and rail transport: focus on port rail shunting operations

32. The k-Color Shortest Path Problem

33. The Traveling Repairman Problem App for Mobile Phones: a Case on Perishable Product Delivery

34. Integrating Vehicle Routing and Resource Allocation in a Pharmaceutical Network

35. A real case on making strategic logistics decisions with production and inventory optimization models

36. A Bi-objective Mixed Integer Model for the Single Link Inventory Routing Problem Using the e-constraint Method

37. Models for Disassembly Lot Sizing Problem with Decisions on Surplus Inventory

38. Learning inventory control rules for perishable items by simulation-based optimization

39. A Genetic Algorithm for Minimum Conflict Weighted Spanning Tree Problem

40. Algorithmic strategies for a fast exploration of the TSP 4-OPT neighborhood

41. A computational evaluation of online ATSP algorithms

42. Modeling of Traffic Flows in Internet of Things Using Renewal Approximation

43. Flow Assignment in Multi-Core Network Processors

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Tags: Massimo Paolucci, Anna Sciomachen, Pierpaolo Uberti, Advances in Optimization, and Decision Science, for Society