Black widow optimization with a Gaussian mutation algorithm

Version 1.0.0 (7,05 KB) von Manoj Kumar Naik

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

Verfolgen

0.0

(0)

94 Downloads

Aktualisiert 13. Feb 2024

Lizenz anzeigen

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

Zitieren als

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.

Mehrere Stile anzeigen

Kompatibilität der MATLAB-Version

Erstellt mit R2023b

Kompatibel mit allen Versionen

Plattform-Kompatibilität

Windows macOS Linux

Tags Tags hinzufügen

Quellenangaben

Inspiriert von: Black Widow Optimization Algorithm

Version	Veröffentlicht	Versionshinweise
1.0.0	13. Feb 2024		Herunterladen

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 }