Attacking Manta Ray foraging optimization (AMRFO) SourceCode

Versione 1.0.0 (6,7 KB) da Manoj Kumar Naik

Attacking Manta-Ray foraging optimization (AMRFO) Source Code

Segui

0.0

(0)

39 download

Aggiornato 13 feb 2024

Visualizza la licenza

An attacking manta ray foraging optimization (AMRFO) algo- rithm is also proposed by including an additional attacking power for the Manta Ray during searching for food, which helps it to reach a global solution without falling in any local minima.

Cita come

Jena, Bibekananda, et al. “Maximum 3D Tsallis Entropy Based Multilevel Thresholding of Brain MR Image Using Attacking Manta Ray Foraging Optimization.” Engineering Applications of Artificial Intelligence, vol. 103, Elsevier BV, Aug. 2021, p. 104293, doi:10.1016/j.engappai.2021.104293.

Visualizza più stili

Compatibilità della release di MATLAB

Creato con R2023b

Compatibile con qualsiasi release

Compatibilità della piattaforma

Windows macOS Linux

Tag Aggiungi tag

Riconoscimenti

Ispirato da: Manta ray foraging optimization (MRFO)

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	13 feb 2024		Scarica

MLA	Jena, Bibekananda, et al. “Maximum 3D Tsallis Entropy Based Multilevel Thresholding of Brain MR Image Using Attacking Manta Ray Foraging Optimization.” Engineering Applications of Artificial Intelligence, vol. 103, Elsevier BV, Aug. 2021, p. 104293, doi:10.1016/j.engappai.2021.104293.
APA	Jena, B., Naik, M. K., Panda, R., & Abraham, A. (2021). Maximum 3D Tsallis entropy based multilevel thresholding of brain MR image using attacking Manta Ray foraging optimization. Engineering Applications of Artificial Intelligence, 103, 104293. Elsevier BV. Retrieved from http://dx.doi.org/10.1016/j.engappai.2021.104293
BibTeX	@article{Jena_2021, title={Maximum 3D Tsallis entropy based multilevel thresholding of brain MR image using attacking Manta Ray foraging optimization}, volume={103}, ISSN={0952-1976}, url={http://dx.doi.org/10.1016/j.engappai.2021.104293}, DOI={10.1016/j.engappai.2021.104293}, journal={Engineering Applications of Artificial Intelligence}, publisher={Elsevier BV}, author={Jena, Bibekananda and Naik, Manoj Kumar and Panda, Rutuparna and Abraham, Ajith}, year={2021}, month=aug, pages={104293} }