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: Metaheuristics for resource deployment under uncertainty in complex systems
  title info:
    title: MATHnetBASE
  name:
    name part: Ding, Shuxin
    name part: 1991-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Chen, Chen
    name part: 1982-
    role:
      role term: author.
  name:
    name part: Zhang, Qi
    name part: 1968-
    role:
      role term: author.
  name:
    name part: Xin, Bin
    name part: 1982-
    role:
      role term: author.
  name:
    name part: Pardalos, P. M. (Panos M.)
    name part: 1954-
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 volume) : illustrations (black and white)
  abstract: Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deployment of resources to incur the best performance at the lowest cost. Resources can be static nodes and moving nodes while services for a specific area or for customers can be provided. Theories of modeling and solution techniques are used with uncertainty taken into account and real-world applications used. The authors present modeling and metaheuristics for solving resource deployment problems under uncertainty while the models deployed are related to stochastic programming, robust optimization, fuzzy programming, risk management, and single/multi-objective optimization. The resources are heterogeneous and can be sensors and actuators providing different tasks. Both separate and cooperative coverage of the resources are analyzed. Previous research has generally dealt with one type of resource and considers static and deterministic problems, so the book breaks new ground in its analysis of cooperative coverage with heterogeneous resources and the uncertain and dynamic properties of these resources using metaheuristics. This book will help researchers, professionals, academics, and graduate students in related areas to better understand the theory and application of resource deployment problems and theories of uncertainty, including problem formulations, assumptions, and solution methods.
  note: Shuxin Ding, Chen Chen, Qi Zhang, Bin Xin, Panos M. Pardalos.
  subject:
    topic: Business logistics
  subject:
    topic: Metaheuristics
  subject:
    topic: TECHNOLOGY
    topic: Automation
  subject:
    topic: SCIENCE
    topic: System Theory
  classification: HD38.5
  classification: 658.51015196
  identifier: 9781000432886
  identifier: 1000432882
  identifier: 9781000432916
  identifier: 1000432912
  identifier: 9781003202653
  identifier: 1003202659
  identifier: 9781032065205
  identifier: 1032065206
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OCoLC-P
    record creation date: 211007
    record change date: 20220613175807.7
    record identifier: in00004581063
    language of cataloging:
      language term: eng