A Modified Jaya Algorithm for Optimum Design of Carbon Fiber-Reinforced Polymers

[ N/A ]

Tarih

2024

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Springer Science and Business Media Deutschland GmbH

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In this study, a modified Jaya algorithm is presented for a structural engineering problem. Jaya algorithm (JA) is a single-phase metaheuristic algorithm using best and worst existing solutions. The effects of these solutions are equally considered in the classical form. In the proposed modified algorithm, a weight factor is considered for these factors. This factor is randomly chosen to keep the algorithm as a parameter-free one. The results of modified JA (MJA) and JA are compared and evaluated for optimization of carbon fiber-polymers (CFRP) used for increasing the shear force capacity of reinforced concrete beams. The results show that MJA outperforms JA. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Açıklama

Anahtar Kelimeler

CFRP; Jaya algorithm; Modified jaya algorithm; Optimization; Reinforced concrete; Shear force

Kaynak

Studies in Systems, Decision and Control

WoS Q Değeri

Scopus Q Değeri

Q4

Cilt

547

Sayı

Künye