基于量子的北跳岩企鹅减功耗优化算法

L. Kanagasabai
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引用次数: 0

摘要

本文提出了一种基于量子的北跳岩企鹅优化算法(QNPO)来解决损失递减问题。北方跳岩企鹅在危险的冬天里群居,以维持生存。北方跳岩企鹅在高温下完成了聚集以保存它们的活力和利用丛。温度等级的升高为实现北跳岩企鹅之间的勘探开发贸易提供了有利条件。将量子力学与北跳岩企鹅优化算法相结合。提出的QNPO算法在IEEE系统中得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum based Northem Rockhopper Penguin Optimization Algorithm for Power Loss Diminution
In this paper Quantum based Northern rockhopper penguin Optimization (QNPO) Algorithm is smeared for resolving the loss diminishing problem. Northern rockhopper penguin implements clustering, in the progression of perilous winters for sustain. Northern rockhopper penguin accomplishes gathering to conserve their zing and exploits on tuft in elevated temperature. Elevated temperature grade supports to realize exploration and exploitation trade between Northern rockhopper penguins. Quantum mechanics has been combined with Northern rockhopper penguin Optimization Algorithm. Proposed QNPO Algorithm is corroborated in IEEE systems.
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