Symbiotic Learning Grey Wolf Optimizer for Engineering and Power Flow Optimization Problems

This article presents a symbiotic learning-based Grey Wolf Optimizer (SL-GWO) formulated through the introduction of symbiotic hunting and learning strategies to achieve a better trade-off between exploration and exploitation while standing immune to the curse of dimensionality. The proposed method...

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Hlavní autoři:	Aala Kalananda Vamsi Krishna Reddy, Komanapalli Venkata Lakshmi Narayana
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2022-01-01
Edice:	IEEE Access
Témata:	Symbiotic learning grey wolf optimizer (SL-GWO) grey wolf optimizer (GWO) benchmark functions CEC 2019 benchmarking optimal power flow problems optimal reactive power flow problems
On-line přístup:	https://ieeexplore.ieee.org/document/9875294/
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