Integrated Corvus - North West America Mackenzie Valley Wolf Inspired Optimization and Hybrid Quasi Opposition Based White Headed Buffalo Weaver - Indian Leopard Cat Swarm Algorithm for Power Loss Diminution in Electrical Grid Transmission Network in

Integrated actions of Corvus and North West America Mackenzie Valley Wolf inspired optimization (ICNAW) algorithm and Hybrid Quasi Opposition Based White Headed Buffalo Weaver - Indian Leopard Cat Swarm Algorithm (QWBLO) are applied for solving the power loss diminution problem. Naturally there is an integrated action between Corvus and North American wolf for obtaining the food. North American wolf will act as foodstuff suppliers for Corvus. Conversely, Corvus will support the North American wolf to discover unidentified flesh. Corvus is societal bird and upon discovery of a deceased animal, Corvus has a habit of making lot of sound. This noise signals North American wolf that a foodstuff spring is situated in neighbouring or nearby level. Fundamentally White- headed buffalo Weavers act as architects and the itinerant. To determine the sustenance sources, the White- headed buffalo Weavers recurrently smear the scheme of architect and the itinerant. In QWBLO, the architects with higher aptness values possess the importance to attain sustenance in the exploration evolution. Computation of the rapidness of Indian Leopard Cat during the movement segment is included for the population diversity in the procedure. Validity of Integrated actions of Corvus and North West America Mackenzie Valley Wolf inspired optimization (ICNAW) algorithm and Hybrid Quasi Opposition Based White Headed Buffalo Weaver - Indian Leopard Cat Swarm Algorithm (QWBLO) is verified in 7 Benchmark functions, IEEE 30, 354, 300, 220KV systems.

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Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-06-02
DOI
https://doi.org/10.1109/tia.2025.3576081
Primary Topic
Islanding Detection in Power Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrated Corvus - North West America Mackenzie Valley Wolf Inspired Optimization and Hybrid Quasi Opposition Based White Headed Buffalo Weaver - Indian Leopard Cat Swarm Algorithm for Power Loss Diminution in Electrical Grid Transmission Network in

K. Lenin
IEEE Transactions on Industry Applications
Islanding Detection in Power Systems
article

Integrated Corvus - North West America Mackenzie Valley Wolf Inspired Optimization and Hybrid Quasi Opposition Based White Headed Buffalo Weaver - Indian Leopard Cat Swarm Algorithm for Power Loss Diminution in Electrical Grid Transmission Network in

K. Lenin
article en

Abstract

Integrated actions of Corvus and North West America Mackenzie Valley Wolf inspired optimization (ICNAW) algorithm and Hybrid Quasi Opposition Based White Headed Buffalo Weaver - Indian Leopard Cat Swarm Algorithm (QWBLO) are applied for solving the power loss diminution problem. Naturally there is an integrated action between Corvus and North American wolf for obtaining the food. North American wolf will act as foodstuff suppliers for Corvus. Conversely, Corvus will support the North American wolf to discover unidentified flesh. Corvus is societal bird and upon discovery of a deceased animal, Corvus has a habit of making lot of sound. This noise signals North American wolf that a foodstuff spring is situated in neighbouring or nearby level. Fundamentally White- headed buffalo Weavers act as architects and the itinerant. To determine the sustenance sources, the White- headed buffalo Weavers recurrently smear the scheme of architect and the itinerant. In QWBLO, the architects with higher aptness values possess the importance to attain sustenance in the exploration evolution. Computation of the rapidness of Indian Leopard Cat during the movement segment is included for the population diversity in the procedure. Validity of Integrated actions of Corvus and North West America Mackenzie Valley Wolf inspired optimization (ICNAW) algorithm and Hybrid Quasi Opposition Based White Headed Buffalo Weaver - Indian Leopard Cat Swarm Algorithm (QWBLO) is verified in 7 Benchmark functions, IEEE 30, 354, 300, 220KV systems.

IEEE Transactions on Industry ApplicationsVol. 61(6)
Siddhartha Medical College (IN)
Sustainable cities and communities
Openalex Percentile: Top 90%
Islanding Detection in Power Systems
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Integrated Corvus - North West America Mackenzie Valley Wolf Inspired Optimization and Hybrid Quasi Opposition Based White Headed Buffalo Weaver - Indian Leopard Cat Swarm Algorithm for Power Loss Diminution in Electrical Grid Transmission Network in — K. Lenin · IEEE Transactions on Industry Applications (2025) | TGRS Research Map | TGRS