Black widow optimization with a Gaussian mutation algorithm

Version 1.0.0 (7.05 KB) by Manoj Kumar Naik

Black widow optimization with a Gaussian mutation algorithm (BWOG) MATLAB source code

71 Downloads

Updated 13 Feb 2024

Black widow optimization with a gaussian mutation algorithm (BWOG) is also proposed in this paper with enhanced population diversity by incorporating an additional stage of powerful Gaussian mutation and random allocation of solutions using a levy flight mechanism in BWO. The

Cite As

Jena, Bibekananda, et al. “A Novel Kaniadakis Entropy-Based Multilevel Thresholding Using Energy Curve and Black Widow Optimization Algorithm with Gaussian Mutation.” 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT), IEEE, 2023, doi:10.1109/apsit58554.2023.10201718.

View more styles

MATLAB Release Compatibility

Created with R2023b

Compatible with any release

Platform Compatibility

Windows macOS Linux

Tags Add Tags

Acknowledgements

Inspired by: Black Widow Optimization Algorithm

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version	Published	Release Notes
1.0.0	13 Feb 2024		Download

MLA	Jena, Bibekananda, et al. “A Novel Kaniadakis Entropy-Based Multilevel Thresholding Using Energy Curve and Black Widow Optimization Algorithm with Gaussian Mutation.” 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT), IEEE, 2023, doi:10.1109/apsit58554.2023.10201718.
APA	Jena, B., Naik, M. K., & Panda, R. (2023). A novel Kaniadakis entropy-based multilevel thresholding using energy curve and Black Widow optimization algorithm with Gaussian mutation. In 2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT). IEEE. Retrieved from http://dx.doi.org/10.1109/APSIT58554.2023.10201718
BibTeX	@inproceedings{Jena_2023, title={A novel Kaniadakis entropy-based multilevel thresholding using energy curve and Black Widow optimization algorithm with Gaussian mutation}, url={http://dx.doi.org/10.1109/APSIT58554.2023.10201718}, DOI={10.1109/apsit58554.2023.10201718}, booktitle={2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)}, publisher={IEEE}, author={Jena, Bibekananda and Naik, Manoj Kumar and Panda, Rutuprana}, year={2023}, month=jun }