Improved moth flame optimization algorithm based on opposition-based learning and Lévy flight distribution for parameter estimation of solar module

An enhanced version of the moth flame optimization algorithm is proposed in this paper for rapid and precise parameter extraction of solar cells. The proposed OBLVMFO algorithm’s novelty lies primarily in the improved search strategies, where two modifications are proposed to maintain a proper balan...

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Bibliographic Details

Published in:	Energy reports Vol. 8; pp. 6576 - 6592
Main Authors:	Sharma, Abhishek, Sharma, Abhinav, Averbukh, Moshe, Rajput, Shailendra, Jately, Vibhu, Choudhury, Sushabhan, Azzopardi, Brian
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2022 Elsevier
Subjects:	Lévy flight MFO OBL OBLVMFO Parameter optimization OBL OBLVMFO Parameter optimization MFO Lévy flight
ISSN:	2352-4847, 2352-4847
Online Access:	Get full text
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