Enhanced Barnacle Mating optimization algorithm (EBMO)

Enhanced Barnacle Mating optimization algorithm (EBMO) source code in MATLAB
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Updated 13 Feb 2024

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enhanced Barnacle Mating optimiza- tion algorithm (EBMO) for obtaining appropriate threshold values by maximising the fitness function. The enhancement over basic Barnacle mating optimization is achieved by incorpo- rating an additional Gaussian mutation strategy and a random flow towards the best solution steps with the original algorithm. The involvement of these additional steps helps the algo- rithm to prevent it to be stagnated at a local minimum by boosting its exploration capability.

Cite As

Jena, Bibekananda, et al. “Exponential Entropy-Based Multilevel Thresholding Using Enhanced Barnacle Mating Optimization.” Multimedia Tools and Applications, vol. 83, no. 1, Springer Science and Business Media LLC, May 2023, pp. 449–502, doi:10.1007/s11042-023-15668-4.

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MATLAB Release Compatibility
Created with R2023b
Compatible with any release
Platform Compatibility
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Acknowledgements

Inspired by: Barnacles Mating Optimizer (BMO)

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Version Published Release Notes
1.0.0