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The forecasting of air transport passenger demands in Turkey by using novel meta-heuristic algorithms

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The forecasting of air transport passenger demands in Turkey by using novel meta-heuristic algorithms

01 Ocak 2021 Makale Scopus
Authors
DOÇENT ERSİN KORKMAZ

Atıf kopyala

D. E. KORKMAZ (2021). The forecasting of air transport passenger demands in Turkey by using novel meta-heuristic algorithms. *Concurrency and Computation Practice and Experience*. https://doi.org/10.1002/cpe.6263

Yayın bilgileri

Dergi Concurrency and Computation Practice and Experience
DOI 10.1002/cpe.6263
Veri tabanı Scopus
Kaynak Scopus
Yayına Git

Atıf verisi 14 Kasım 2026 tarihinde güncellendi.

Korkmaz, E., Akgüngör, A.P. | Concurrency and Computation Practice and Experience

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Scopus 16
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Yayın metrikleri (GS / WoS / Scopus)

16 Scopus Atıf
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