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 Smart City

IF 4.5 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Industry Applications Pub Date : 2025-06-02 DOI:10.1109/TIA.2025.3576081

Lenin Kanagasabai

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引用次数: 0

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.

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集成鸦群-美国西北Mackenzie Valley狼启发优化和基于混合准对立的白头水牛织女-印度豹猫群算法在智慧城市输电网中的减损

将Corvus算法与美国西北Mackenzie Valley Wolf启发优化算法（ICNAW）和基于混合准对抗的白头水牛织女-印度豹猫群算法（QWBLO）相结合，解决了电网的功率损耗减小问题。自然地，乌鸦和北美狼之间为了获取食物而采取了一种综合行动。北美狼将作为Corvus的食物供应商。相反，Corvus将支持北美狼发现身份不明的肉体。乌鸦是一种社会性的鸟类，一旦发现一只死去的动物，乌鸦就会有发出很多声音的习惯。这种声音向北美狼发出信号，表明附近或附近有一个食物泉。基本上，白头水牛编织者扮演建筑师和流动者的角色。为了确定食物来源，白头水牛织工经常涂抹建筑师和流动人员的方案。在QWBLO中，具有较高资质价值的建筑师在探索进化中具有获得生存的重要性。在计算过程中，考虑了种群的多样性，对印度豹猫在运动段的速度进行了计算。在IEEE 30,354,300,220kv系统的7个基准函数中验证了Corvus与美国西北Mackenzie Valley Wolf启发优化（ICNAW）算法和基于混合准反对的白头水牛织女-印度豹猫群算法（QWBLO）综合行动的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Industry Applications 工程技术-工程：电子与电气

CiteScore

9.90

自引率

9.10%

发文量

747

审稿时长

3.3 months

期刊介绍： The scope of the IEEE Transactions on Industry Applications includes all scope items of the IEEE Industry Applications Society, that is, the advancement of the theory and practice of electrical and electronic engineering in the development, design, manufacture, and application of electrical systems, apparatus, devices, and controls to the processes and equipment of industry and commerce; the promotion of safe, reliable, and economic installations; industry leadership in energy conservation and environmental, health, and safety issues; the creation of voluntary engineering standards and recommended practices; and the professional development of its membership.