Dynamic Lévy–Brownian marine predator algorithm for photovoltaic model parameters optimization
Yassine Bouteraa, Mohammad Khishe · 2024
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Description
Yassine Bouteraa and Mohammad Khishe improve a nature-inspired optimizer for solar models in a 2024 paper. Fitting the parameters of solar cell models is a slippery optimization problem with many local traps. A recent algorithm mimics marine predators switching between two search gaits, a wandering Brownian walk and long Lévy flights, but its switching was unpredictable.
Their fix is a dynamic shift function that eases the transition between gaits continuously, the way a real predator's hunt phases blend. A constraint handler keeps candidate parameters inside physical bounds. Across single, double, and triple-diode solar models, the improved algorithm reached the lowest average error among eleven methods compared, with statistical significance. Accurate solar parameters underpin panel design and monitoring, so better fitting is quiet but useful progress. The paper is a method contribution aimed at the optimization community.
Catalog record
| CREATOR | Yassine Bouteraa, Mohammad Khishe |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 99 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |