Optimization of pv cells/modules parameters using a modified quasi-oppositional logistic chaotic rao-1 (QOLCR) algorithm-Reference-Cited by-同舟云学术

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Optimization of pv cells/modules parameters using a modified quasi-oppositional logistic chaotic rao-1 (QOLCR) algorithm

Published:2023-01-24 Issue:15 Volume:30 Page:44536-44552
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Benghanem Mohamed^ORCID,Lekouaghet Badis,Haddad Sofiane,Soukkou Ammar

Funder

Deanship of Scientific Research at Islamic University of Madinah, KSA

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-022-24941-2.pdf

Reference62 articles.

1. Abbassi A, Ben Mehrez R, Bensalem Y, Abbassi R, Kchaou M, Jemli M, Abualigah L, Altalhi M (2022) Improved arithmetic optimization algorithm for parametersextraction of photovoltaic solar cell single-diode model. Arab J Sci Eng 47:10435–10451

2. Abdel-Basset M, Mohamed R, Chakrabortty RK, Sallam K, Ryan MJ (2021) An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: analysis and validations. Energy Convers Manage 227:113614

3. Ahmadianfar I, Heidari AA, Chen H, Noshadian S, Gandomi AH (2022) INFO: An efficient optimization algorithm based on weighted mean of vectors. Expert Syst Appl 195:116516

4. Ahmadianfar I, Heidari AA, Gandomi AH, Chu X, Chen H (2021) RUN beyond the metaphor: an efficient optimization algorithm based on Runge Kutta method. Expert Syst Appl 181:115079

5. Aslimani N, Ellaia R (2018) A new chaos optimization algorithm based on symmetric and levelling approaches for global optimization. Numerical Algorithms 79:1021–1047

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