rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in Optimization and Decision Science for Society, Services and Enterprises
    sub title: ODS, Genoa, Italy, September 4-7, 2019
  name:
    name part: Paolucci, Massimo.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Sciomachen, Anna.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Uberti, Pierpaolo.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 503 p. 77 illus., 49 illus. in color. online resource.
  abstract: 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 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 …
  note: edited by Massimo Paolucci, Anna Sciomachen, Pierpaolo Uberti.
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Calculus of variations
  subject:
    topic: Graph theory
  subject:
    topic: Game theory
  subject:
    topic: Computer science-Mathematics
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Calculus of Variations and Optimal Control; Optimization
  subject:
    topic: Graph Theory
  subject:
    topic: Game Theory, Economics, Social and Behav. Sciences
  subject:
    topic: Math Applications in Computer Science
  classification: QA402-402.37
  classification: T57.6-57.97
  classification: 519.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: AIRO Springer Series, 3
  identifier: 9783030349608
  identifier: https://doi.org/10.1007/978-3-030-34960-8
  record info:
    record creation date: 200125
    record change date: 20200125141049.0
    record identifier: 978-3-030-34960-8