Attacking Manta Ray foraging optimization (AMRFO) SourceCode

Versión 1.0.0 (6,7 KB) por Manoj Kumar Naik

Attacking Manta-Ray foraging optimization (AMRFO) Source Code

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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.

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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.

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Inspirado por: Manta ray foraging optimization (MRFO)

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Versión	Publicado	Notas de la versión
1.0.0	13 feb 2024		Descargar

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} }