用于降低实际功率损耗的新型基于量子的 Ceratitis 和 Tetrapturus Georgii 优化算法

L. Kanagasabai
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引用次数: 0

摘要

本文应用基于量子的 Ceratitis 优化算法(QCO)和 Tetrapturus georgii 优化算法(QTO)来解决损失缩减问题。Ceratitis Optimization 算法预设了 Ceratitis 的系统性参与,并在红色到绚丽的视图和反击体贴的活动中同化了 Ceratitis 的饮食。Tetrapturus georgii 优化算法是根据 Tetrapturus georgii 的缠斗行为和它的贪吃来建模的,以星座的方式追求 Etrumeus。量子力学与 Ceratitis 优化(QCO)算法和 Tetrapturus georgii 优化(QTO)算法相结合。在量子过程中,拓扑图会在确信的时间内完成等效颁布,就像它们在中值的可信粉末中的路线一样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NOVEL QUANTUM-BASED CERATITIS AND TETRAPTURUS GEORGII OPTIMIZATION ALGORITHMS FOR REAL POWER LOSS REDUCTION
In this paper, the Quantum-based Ceratitis Optimization (QCO) algorithm and Tetrapturus georgii optimization (QTO) algorithm are applied for solving the loss shrinking. The Ceratitis Optimization algorithm is premeditated on the systematic engagements of Ceratitis and in the red to splendid view and countered considerate activities Ceratitis diet is assimilated. The tetrapturus georgii optimization algorithm is modeled based on the stalking deeds of Tetrapturus georgii and it’s gluttonous, quest the Etrumeus in a constellation manner. Quantum mechanics has been combined with Ceratitis Optimization (QCO) algorithm and the Tetrapturus georgii optimization (QTO) algorithm. In the quantum process, topographies out do the equivalent enactment with the convinced period as they route in a credible powdered of the median.
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