Attacking Manta Ray foraging optimization (AMRFO) SourceCode

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.

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.

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Ispirato da: Manta ray foraging optimization (MRFO)

Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux
Versione Pubblicato Note della release Action
1.0.0