View in EDS HTML Full Text PDF Full Text

New Hybrid Optimization Approaches for the Optimal Management of Surface Water Resources Systems.

Saved in:
Bibliographic Details
Title: New Hybrid Optimization Approaches for the Optimal Management of Surface Water Resources Systems.
Authors: Akbarifard, Saeid1 (AUTHOR) s.akbarifard@kgut.ac.ir, Zounemat-Kermani, Mohammad2,3 (AUTHOR)
Source: Water Resources Management. Dec2024, Vol. 38 Issue 15, p6007-6023. 17p.
Subject Terms: *Metaheuristic algorithms, *Imperialist competitive algorithm, *Water management, *Water supply, *Drinking water
Abstract: Meta-heuristic algorithms have been successfully used in solving a variety of engineering problems. The optimal operation of multi-reservoirs is one the most complex engineering problem, so there is an increasing need for the development of such algorithms. In this study, a new hybrid algorithm, Symbiotic Organisms Search based on Moth Swarm Algorithm (SOS-MSA), in comparison to three robust algorithms of Fitness-Distance-Balance-based Symbiotic Organisms Search (FDB-SOS) algorithm, Harmony Search (HS) algorithm and Imperialist Competitive algorithm (ICA) were developed for optimal management of surface water resources systems. The Halilrood basin surface water resource system in the Southeast of Iran consisting of Baft, Safarud, and Jiroft dams was considered as the case study. The purpose was to find the best scenario for allocating the water resources among the domestic, environmental, agricultural, and industrial uses in the case study, provided that the drinking water demand being given precedence. The results demonstrated that the new hybrid SOS-MSA algorithm provided the most efficient operation policies in a shortest run time which could supply 88%, 73.63%, and 99.07% of the downstream demands of Baft, Safarud, and Jiroft reservoirs. In addition, the best values of sustainability index (SI) were achieved by SOS-MSA algorithm followed by FDB-SOS algorithm indicating the superior performance of these algorithms over the HS and ICA algorithms in optimal operation of multi-reservoir system. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 180805415
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: New Hybrid Optimization Approaches for the Optimal Management of Surface Water Resources Systems.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Akbarifard%2C+Saeid%22">Akbarifard, Saeid</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> s.akbarifard@kgut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Zounemat-Kermani%2C+Mohammad%22">Zounemat-Kermani, Mohammad</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Water+Resources+Management%22">Water Resources Management</searchLink>. Dec2024, Vol. 38 Issue 15, p6007-6023. 17p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br />*<searchLink fieldCode="DE" term="%22Imperialist+competitive+algorithm%22">Imperialist competitive algorithm</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+management%22">Water management</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+supply%22">Water supply</searchLink><br />*<searchLink fieldCode="DE" term="%22Drinking+water%22">Drinking water</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Meta-heuristic algorithms have been successfully used in solving a variety of engineering problems. The optimal operation of multi-reservoirs is one the most complex engineering problem, so there is an increasing need for the development of such algorithms. In this study, a new hybrid algorithm, Symbiotic Organisms Search based on Moth Swarm Algorithm (SOS-MSA), in comparison to three robust algorithms of Fitness-Distance-Balance-based Symbiotic Organisms Search (FDB-SOS) algorithm, Harmony Search (HS) algorithm and Imperialist Competitive algorithm (ICA) were developed for optimal management of surface water resources systems. The Halilrood basin surface water resource system in the Southeast of Iran consisting of Baft, Safarud, and Jiroft dams was considered as the case study. The purpose was to find the best scenario for allocating the water resources among the domestic, environmental, agricultural, and industrial uses in the case study, provided that the drinking water demand being given precedence. The results demonstrated that the new hybrid SOS-MSA algorithm provided the most efficient operation policies in a shortest run time which could supply 88%, 73.63%, and 99.07% of the downstream demands of Baft, Safarud, and Jiroft reservoirs. In addition, the best values of sustainability index (SI) were achieved by SOS-MSA algorithm followed by FDB-SOS algorithm indicating the superior performance of these algorithms over the HS and ICA algorithms in optimal operation of multi-reservoir system. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=180805415
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11269-024-03941-6
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 6007
    Subjects:
      – SubjectFull: Metaheuristic algorithms
        Type: general
      – SubjectFull: Imperialist competitive algorithm
        Type: general
      – SubjectFull: Water management
        Type: general
      – SubjectFull: Water supply
        Type: general
      – SubjectFull: Drinking water
        Type: general
    Titles:
      – TitleFull: New Hybrid Optimization Approaches for the Optimal Management of Surface Water Resources Systems.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Akbarifard, Saeid
      – PersonEntity:
          Name:
            NameFull: Zounemat-Kermani, Mohammad
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 09204741
          Numbering:
            – Type: volume
              Value: 38
            – Type: issue
              Value: 15
          Titles:
            – TitleFull: Water Resources Management
              Type: main
ResultId 1