Chaotic red-tailed hawk algorithm to optimize parameter power system stabilizer.

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Title: Chaotic red-tailed hawk algorithm to optimize parameter power system stabilizer.
Authors: Aribowo, Widi1 widiaribowo@unesa.ac.id, Abualigah, Laith2 aligah.2020@gmail.com, Oliva, Diego3 diego.oliva@cucei.udg.mx, Aljohani, Abeer4 aahjohani@taibahu.edu.sa, Sabo, Aliyu5 saboaliyu98@gmail.com
Source: International Journal of Electrical & Computer Engineering (2088-8708). Aug2025, Vol. 15 Issue 4, p3536-3545. 10p.
Subjects: Optimization algorithms, Feedback control system stability, Nonlinear programming, Empirical research, Mathematical optimization, Feedback control systems
Abstract: This article introduces a recently created adaptation of the red-tailed hawk (RTH) algorithm. The proposed approach is a modified version of the original RTH algorithm, incorporating chaotic elements to enhance its integrity and performance. The RTH algorithm emulates the hunting behavior of the red-tailed hawk. This article demonstrates the adjustment of the power system stabilizer using the suggested technique in a case study involving a single-machine system. The suggested method was validated by benchmarking against known functions and evaluating its performance on a single-machine system in terms of transient responsiveness. The essay employs the original RTH algorithm as a means of comparison. The simulation results demonstrate that the proposed technique exhibits promising performance. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science 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
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  Data: Chaotic red-tailed hawk algorithm to optimize parameter power system stabilizer.
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  Data: <searchLink fieldCode="AR" term="%22Aribowo%2C+Widi%22">Aribowo, Widi</searchLink><relatesTo>1</relatesTo><i> widiaribowo@unesa.ac.id</i><br /><searchLink fieldCode="AR" term="%22Abualigah%2C+Laith%22">Abualigah, Laith</searchLink><relatesTo>2</relatesTo><i> aligah.2020@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Oliva%2C+Diego%22">Oliva, Diego</searchLink><relatesTo>3</relatesTo><i> diego.oliva@cucei.udg.mx</i><br /><searchLink fieldCode="AR" term="%22Aljohani%2C+Abeer%22">Aljohani, Abeer</searchLink><relatesTo>4</relatesTo><i> aahjohani@taibahu.edu.sa</i><br /><searchLink fieldCode="AR" term="%22Sabo%2C+Aliyu%22">Sabo, Aliyu</searchLink><relatesTo>5</relatesTo><i> saboaliyu98@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Aug2025, Vol. 15 Issue 4, p3536-3545. 10p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+system+stability%22">Feedback control system stability</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+programming%22">Nonlinear programming</searchLink><br /><searchLink fieldCode="DE" term="%22Empirical+research%22">Empirical research</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This article introduces a recently created adaptation of the red-tailed hawk (RTH) algorithm. The proposed approach is a modified version of the original RTH algorithm, incorporating chaotic elements to enhance its integrity and performance. The RTH algorithm emulates the hunting behavior of the red-tailed hawk. This article demonstrates the adjustment of the power system stabilizer using the suggested technique in a case study involving a single-machine system. The suggested method was validated by benchmarking against known functions and evaluating its performance on a single-machine system in terms of transient responsiveness. The essay employs the original RTH algorithm as a means of comparison. The simulation results demonstrate that the proposed technique exhibits promising performance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science 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.)
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RecordInfo BibRecord:
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        Value: 10.11591/ijece.v15i4.pp3536-3545
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 3536
    Subjects:
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Feedback control system stability
        Type: general
      – SubjectFull: Nonlinear programming
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      – SubjectFull: Empirical research
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      – SubjectFull: Mathematical optimization
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      – SubjectFull: Feedback control systems
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      – TitleFull: Chaotic red-tailed hawk algorithm to optimize parameter power system stabilizer.
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            NameFull: Aribowo, Widi
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            NameFull: Abualigah, Laith
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            NameFull: Oliva, Diego
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            NameFull: Sabo, Aliyu
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              M: 08
              Text: Aug2025
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              Y: 2025
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