Design of a Computational Heuristic to Solve the Nonlinear Li?nard Differential Model
Yazarlar (6)
Li Yan Honghe University, Çin
Zulqurnain Sabir Hazara University Pakistan, Pakistan
Doç. Dr. Esin İLHAN Kırşehir Ahi Evran Üniversitesi, Türkiye
Muhammad Asif Zahoor Raja
National Yunlin University Of Science And Technology, Tayvan
National Yunlin University Of Science And Technology, Tayvan
Wei Gao Yunnan Normal University, Çin
Haci Mehmet Baskonus Harran Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | CMES Computer Modeling in Engineering and Sciences (Q2) | ||
| Dergi ISSN | 1526-1492 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2023 |
| Cilt / Sayı / Sayfa | 136 / 1 / 201–221 | DOI | 10.32604/cmes.2023.025094 |
| Makale Linki | https://www.webofscience.com/wos/woscc/full-record/WOS:000950622000009 | ||
| Özet |
| In this study, the design of a computational heuristic based on the nonlinear Liénard model is presented using the efficiency of artificial neural networks (ANNs) along with the hybridization procedures of global and local search approaches. The global search genetic algorithm (GA) and local search sequential quadratic programming scheme (SQPS) are implemented to solve the nonlinear Liénard model. An objective function using the differential model and boundary conditions is designed and optimized by the hybrid computing strength of the GA-SQPS. The motivation of the ANN procedures along with GA-SQPS comes to present reliable, feasible and precise frameworks to tackle stiff and highly nonlinear differentialmodels. The designed procedures of ANNs along with GA-SQPS are applied for three highly nonlinear differential models. The achieved numerical outcomes on multiple trials using the designed … |
| Anahtar Kelimeler |
| artificial neural networks | genetic algorithm | Nonlinear Liénard model | numerical computing | sequential quadratic programming scheme | statistical analysis |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 13 |
| Scopus | 15 |
| Google Scholar | 18 |