Fuzzy adaptive forensic-based investigation algorithm

Versione 1.0.0 (4,69 KB) da nhat truong

This work develops a novel fuzzy adaptive forensic-based investigation algorithm (FAFBI)

Segui

0.0

(0)

38 download

Aggiornato 28 feb 2025

Visualizza la licenza

This work develops a novel fuzzy adaptive forensic-based investigation algorithm (FAFBI) for optimizing frequency-constrained structural dome design.

Cita come

Truong, Dinh-Nhat, and Jui-Sheng Chou. “Fuzzy Adaptive Forensic-Based Investigation Algorithm for Optimizing Frequency-Constrained Structural Dome Design.” Mathematics and Computers in Simulation, vol. 210, Aug. 2023, pp. 473–531, https://doi.org/10.1016/j.matcom.2023.03.007.

Visualizza più stili

Compatibilità della release di MATLAB

Creato con R2024b

Compatibile con qualsiasi release

Compatibilità della piattaforma

Windows macOS Linux

Tag Aggiungi tag

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versione	Pubblicato	Note della release
1.0.0	28 feb 2025		Scarica

MLA	Truong, Dinh-Nhat, and Jui-Sheng Chou. “Fuzzy Adaptive Forensic-Based Investigation Algorithm for Optimizing Frequency-Constrained Structural Dome Design.” Mathematics and Computers in Simulation, vol. 210, Aug. 2023, pp. 473–531, https://doi.org/10.1016/j.matcom.2023.03.007.
APA	Truong, D.-N., & Chou, J.-S. (2023). Fuzzy adaptive forensic-based investigation algorithm for optimizing frequency-constrained structural dome design. Mathematics and Computers in Simulation, 210, 473–531. Elsevier BV. Retrieved from http://dx.doi.org/10.1016/j.matcom.2023.03.007
BibTeX	@article{Truong_2023, title={Fuzzy adaptive forensic-based investigation algorithm for optimizing frequency-constrained structural dome design}, volume={210}, ISSN={0378-4754}, url={http://dx.doi.org/10.1016/j.matcom.2023.03.007}, DOI={10.1016/j.matcom.2023.03.007}, journal={Mathematics and Computers in Simulation}, publisher={Elsevier BV}, author={Truong, Dinh-Nhat and Chou, Jui-Sheng}, year={2023}, month=aug, pages={473–531} }