• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Book chapters
    • View Item
    • Home
    • Griffith Research Online
    • Book chapters
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Multi-objective Optimization Approaches for Design, Planning, and Management of Water Resource Systems

    Author(s)
    Ferdowsi, A
    Singh, VP
    Ehteram, M
    Mirjalili, S
    Griffith University Author(s)
    Mirjalili, Seyedali
    Year published
    2021
    Metadata
    Show full item record
    Abstract
    Problems of water resource systems entail many inherent objectives from cost-related to environmental issues, which are usually in conflict and should be addressed simultaneously in decision-making. Multi-objective optimization algorithms aim to simultaneously satisfy two or more objectives and provide a set of optimal solutions for multi-objective optimization problems. Such algorithms can also improve the accuracy of simulation models, such as artificial neural network and adaptive neuro fuzzy interface system. This chapter first presents essential definitions in multi-objective algorithms and their applications in different ...
    View more >
    Problems of water resource systems entail many inherent objectives from cost-related to environmental issues, which are usually in conflict and should be addressed simultaneously in decision-making. Multi-objective optimization algorithms aim to simultaneously satisfy two or more objectives and provide a set of optimal solutions for multi-objective optimization problems. Such algorithms can also improve the accuracy of simulation models, such as artificial neural network and adaptive neuro fuzzy interface system. This chapter first presents essential definitions in multi-objective algorithms and their applications in different areas of water resources systems (i.e., model calibration, water distribution network, reservoir operation and management, water quality, water structure design, and groundwater). It then evaluates performance of a recently proposed and two well-known multi-objective algorithms for solving three problems in the optimal operation of a real multipurpose dam.
    View less >
    Book Title
    Essential Tools for Water Resources Analysis, Planning, and Management
    DOI
    https://doi.org/10.1007/978-981-33-4295-8_11
    Subject
    Environmental engineering
    Publication URI
    http://hdl.handle.net/10072/411888
    Collection
    • Book chapters

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander