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

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
Main Authors: Abhishek Sharma, Abhinav Sharma, Moshe Averbukh, Shailendra Rajput, Vibhu Jately, Sushabhan Choudhury, Brian Azzopardi
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
MFO
OBLVMFO
Lévy flight
OBL
Parameter optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722008587

Internet

http://www.sciencedirect.com/science/article/pii/S2352484722008587

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