Advances in Optimization and Decision Science for Society, Services and Enterprises ODS, Genoa, Italy, September 4-7, 2019 /

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 r...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Paolucci, Massimo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sciomachen, Anna (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Uberti, Pierpaolo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:AIRO Springer Series, 3
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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 storage and retrieval system policies with simulation and optimization
  • 13 E. Tresoldi and A. Ceselli, Rolling-horizon heuristics for capacitated stochastic inventory problems with forecast updates
  • 14 M. Barbato et al., Paths and matchings in an automated warehouse
  • 15 H. Aldossary and G. Coates, Coordinating the Emergency Response of Ambulances to Multiple Mass Casualty Incidents using an Optimization-based Approach
  • 16 L. Scrimali and G. Fargetta, A game theory model of online content competition
  • 17 G. Cappello and P. Daniele, A Variational Formulation for a Human Migration Problem
  • 18 M. Cerulli et al., Flying safely by bilevel programming
  • 19 S. Basso and A. Ceselli, Computational evaluation of data driven local search for MIP decompositions
  • 20 G. Colajanni, An integer programming formulation for University Course Timetabling
  • 21 P. Hosein et al., On the Sizing of Security Personnel Staff while accounting for Overtime Pay
  • 22 M.‐S. Vié and N. Zufferey, Dynamic Tabu Search for Enhancing the Productivity of a Bottle Production Line
  • 23 M. Boccia et al., Swap minimization in nearest neighbour quantum circuits: an ILP formulation
  • 24 M. Passacantando and F. Raciti, A traffic equilibrium nonlinear programming model for optimizing road maintenance investments
  • 25 L. Mastroeni et al., Opinion dynamics in multi-agent systems under proportional updating and any-to-any influence
  • 26 M. F. Monaco and M. Sammarra, A new formulation of the single door truck scheduling problem
  • 27 L. Rarità, Optimization of car traffic in emergency conditions
  • 28 M. E. Bruni at al., The Cumulative Capacitated Vehicle Routing Problem with Profits under Uncertainty
  • 29 P. Beraldi et al., Dealing with the stochastic home energy management problem
  • 30 J.-F. Côté et al., Optimization Methods for the Same-Day Delivery Problem
  • 31 D. Ambrosino and V. Asta, Intermodality and rail transport: focus on port rail shunting operations
  • 32 D. Ferone et al., The k-Color Shortest Path Problem
  • 33 M. E. Bruni et al., The Traveling Repairman Problem App for Mobile Phones: a Case on Perishable Product Delivery
  • 34 R. Tison and N. Zufferey, Integrating Vehicle Routing and Resource Allocation in a Pharmaceutical Network
  • 35 E. Parra, A real case on making strategic logistics decisions with production and inventory optimization models
  • 36 A. Alves da Silva Mundim et al., A Bi-objective Mixed Integer Model for the Single Link Inventory Routing Problem Using the e-constraint Method
  • 37 M. Pour-Massahian-Tafti et al., Models for Disassembly Lot Sizing Problem with Decisions on Surplus Inventory
  • 38 R. Berruto et al., Learning inventory control rules for perishable items by simulation-based optimization
  • 39 C. Cerrone et al., A Genetic Algorithm for Minimum Conflict Weighted Spanning Tree Problem
  • 40 G. Lancia and M. Dalpasso, Algorithmic strategies for a fast exploration of the TSP 4-OPT neighborhood
  • 41 M. Barbato et al., A computational evaluation of online ATSP algorithms
  • 42 F. Wamser et al., Modeling of Traffic Flows in Internet of Things Using Renewal Approximation
  • 43 F. Davoli et al., Flow Assignment in Multi-Core Network Processors.