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A hybrid mutational Northern Goshawk and elite opposition learning artificial rabbits optimizer for...

A hybrid mutational Northern Goshawk and elite opposition learning artificial rabbits optimizer for...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_458a5ca78d254ad6864e3bcd01c67f39

A hybrid mutational Northern Goshawk and elite opposition learning artificial rabbits optimizer for PEMFC parameter estimation

About this item

Full title

A hybrid mutational Northern Goshawk and elite opposition learning artificial rabbits optimizer for PEMFC parameter estimation

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-11, Vol.14 (1), p.28657-23, Article 28657

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

For the purpose of simulating, controlling, evaluating, managing and optimizing PEMFCs it is necessary to develop accurate mathematical models. The present study develops a mathematical model which uses empirical or semi-empirical equations to estimate unknown model parameters through optimization techniques. This thesis calculates, analyzes and di...

Alternative Titles

Full title

A hybrid mutational Northern Goshawk and elite opposition learning artificial rabbits optimizer for PEMFC parameter estimation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_458a5ca78d254ad6864e3bcd01c67f39

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_458a5ca78d254ad6864e3bcd01c67f39

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-80073-2

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