New Sail fish optimizer(NSFO) for EDP

Versione 1.0.0 (3,14 KB) da praveen kumar

Economic dispatch problem with valve point loading is solved by sail fish optimizer

Segui

0.0

(0)

6 download

Aggiornato 16 nov 2024

Visualizza la licenza

Condividi
Apri in MATLAB Online
Scarica

3,13,40 units are avialable for simulation.

Cita come

Shadravan, S., et al. “The Sailfish Optimizer: A Novel Nature-Inspired Metaheuristic Algorithm for Solving Constrained Engineering Optimization Problems.” Engineering Applications of Artificial Intelligence, vol. 80, Elsevier BV, Apr. 2019, pp. 20–34, doi:10.1016/j.engappai.2019.01.001.

Visualizza più stili

Compatibilità della release di MATLAB

Creato con R2022b

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!

Newsailfisheco

Versione	Pubblicato	Note della release
1.0.0	16 nov 2024		Scarica

MLA	Shadravan, S., et al. “The Sailfish Optimizer: A Novel Nature-Inspired Metaheuristic Algorithm for Solving Constrained Engineering Optimization Problems.” Engineering Applications of Artificial Intelligence, vol. 80, Elsevier BV, Apr. 2019, pp. 20–34, doi:10.1016/j.engappai.2019.01.001.
APA	Shadravan, S., Naji, H. R., & Bardsiri, V. K. (2019). The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems. Engineering Applications of Artificial Intelligence, 80, 20–34. Elsevier BV. Retrieved from http://dx.doi.org/10.1016/j.engappai.2019.01.001
BibTeX	@article{Shadravan_2019, title={The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems}, volume={80}, ISSN={0952-1976}, url={http://dx.doi.org/10.1016/j.engappai.2019.01.001}, DOI={10.1016/j.engappai.2019.01.001}, journal={Engineering Applications of Artificial Intelligence}, publisher={Elsevier BV}, author={Shadravan, S. and Naji, H.R. and Bardsiri, V.K.}, year={2019}, month=apr, pages={20–34} }