View in EDS PDF Full Text

An improved imperialist competitive algorithm for global optimization.

Saved in:
Bibliographic Details
Title: An improved imperialist competitive algorithm for global optimization.
Authors: Ting YOU1,2, Yueli HU1,3 Yuelihu21@163.com, Peijiang LI2, Yinggan TANG4
Source: Turkish Journal of Electrical Engineering & Computer Sciences. 2019, Vol. 27 Issue 5, p3567-3581. 15p.
Subjects: Imperialist competitive algorithm, Global optimization, Voltage regulators, Tuned mass dampers, Mathematical optimization, Dampers (Mechanical devices)
Abstract: The imperialist competitive algorithm (ICA), inspired by sociopolitical behavior in the real world, is a new optimization algorithm. The ICA shows great potential to solve complex optimization problems. In order to improve the ICA's exploration ability and speed up its convergence, two improved schemes are proposed in this paper. The first scheme presents a new possession probability in the imperialistic competition phase. Inspired by geopolitics, not only the power of the empire but also the distance between the imperialists are taken into account in calculating the new possession probability. The second scheme introduces the wavelet mutation operator into the original ICA so as to improve its exploration ability. The improved ICAs (IICAs) are tested on several benchmark functions and then used to design the optimum parameters of tuned mass damper and tune the parameters of a fractional order PID controller of an automatic voltage regulator (AVR) system. Results show that the IICAs outperform the original ICA in terms of solution quality and convergence speed. [ABSTRACT FROM AUTHOR]
Copyright of Turkish Journal of Electrical Engineering & Computer Sciences is the property of Scientific and Technical Research Council of Turkey and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 138875596
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An improved imperialist competitive algorithm for global optimization.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ting+YOU%22">Ting YOU</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Yueli+HU%22">Yueli HU</searchLink><relatesTo>1,3</relatesTo><i> Yuelihu21@163.com</i><br /><searchLink fieldCode="AR" term="%22Peijiang+LI%22">Peijiang LI</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Yinggan+TANG%22">Yinggan TANG</searchLink><relatesTo>4</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Turkish+Journal+of+Electrical+Engineering+%26+Computer+Sciences%22">Turkish Journal of Electrical Engineering & Computer Sciences</searchLink>. 2019, Vol. 27 Issue 5, p3567-3581. 15p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Imperialist+competitive+algorithm%22">Imperialist competitive algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Global+optimization%22">Global optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Voltage+regulators%22">Voltage regulators</searchLink><br /><searchLink fieldCode="DE" term="%22Tuned+mass+dampers%22">Tuned mass dampers</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Dampers+%28Mechanical+devices%29%22">Dampers (Mechanical devices)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The imperialist competitive algorithm (ICA), inspired by sociopolitical behavior in the real world, is a new optimization algorithm. The ICA shows great potential to solve complex optimization problems. In order to improve the ICA's exploration ability and speed up its convergence, two improved schemes are proposed in this paper. The first scheme presents a new possession probability in the imperialistic competition phase. Inspired by geopolitics, not only the power of the empire but also the distance between the imperialists are taken into account in calculating the new possession probability. The second scheme introduces the wavelet mutation operator into the original ICA so as to improve its exploration ability. The improved ICAs (IICAs) are tested on several benchmark functions and then used to design the optimum parameters of tuned mass damper and tune the parameters of a fractional order PID controller of an automatic voltage regulator (AVR) system. Results show that the IICAs outperform the original ICA in terms of solution quality and convergence speed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Turkish Journal of Electrical Engineering & Computer Sciences is the property of Scientific and Technical Research Council of Turkey and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=138875596
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3906/elk-1811-59
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 3567
    Subjects:
      – SubjectFull: Imperialist competitive algorithm
        Type: general
      – SubjectFull: Global optimization
        Type: general
      – SubjectFull: Voltage regulators
        Type: general
      – SubjectFull: Tuned mass dampers
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Dampers (Mechanical devices)
        Type: general
    Titles:
      – TitleFull: An improved imperialist competitive algorithm for global optimization.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ting YOU
      – PersonEntity:
          Name:
            NameFull: Yueli HU
      – PersonEntity:
          Name:
            NameFull: Peijiang LI
      – PersonEntity:
          Name:
            NameFull: Yinggan TANG
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2019
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-print
              Value: 13000632
          Numbering:
            – Type: volume
              Value: 27
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Turkish Journal of Electrical Engineering & Computer Sciences
              Type: main
ResultId 1