Atlantic blue marlin, boops, chironex fleckeri, and general practitioner : sick person optimization algorithms

• Autorzy: Kanagasabai Lenin

Identyfikatory

DOI

10.14313/JAMRIS/3‐2024/25

• Języki publikacji: EN

Abstrakty

EN

In this paper Atlantic blue marlin (ABM) optimization algorithm, Boops optimization (BO) algorithm, Chironex fleckeri search optimization (CSO) algorithm, general practitioner-sick person (PS) optimization algorithm are applied for solving factual power loss reduction problem. Natural actions of Atlantic blue marlin are emulated to design the Atlantic blue marlin (ABM) optimization algorithm and populace in the examination space is capriciously stimulated. Boops optimization (BO) algorithm is designed by imitating the stalking physiognomies of Boops. CSO is based on the drive and search behavior of Chironex fleckeri. A general practitioner will treat a sick person with various procedures which have been imitated to model the Projected PS algorithm. Inoculation, medicine and operation are the procedures considered in the PS algorithm. Atlantic blue marlin (ABM) optimization algorithm, Boops optimization (BO) algorithm, Chironex fleckeri search optimization (CSO) algorithm, general practitioner-sick person (PS) optimization algorithm validated in IEEE 57, 300 systems and 220 KV network. Factual power loss lessening, power divergence restraining, and power constancy index amplification have been attained.

Słowa kluczowe

EN

atlantic blue marlin; Boops; Chironex fleckeri; general practitioner; sick person

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2024
• Tom: Vol. 18, No. 3
• Strony: 78--88
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Kanagasabai Lenin

• Prasad V. Potluri Siddhartha Institute of Technology, Chalasani Nagar, Kanuru, Vijayawada, Andhra Pradesh, 520007, India

• https://orcid.org/0000-0002-6860-827X

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).