Leader Harris hawks optimization (LHHO) MATLAB Code

버전 2.0.0 (6.01 KB) 작성자: Manoj Kumar Naik

This consists of a modified Harris hawks optimization (HHO) based on the leadership strategy, which shows superiority.

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다운로드 수: 452

업데이트 날짜: 2021/9/19

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Developed in MATLAB R2018b

Author and programmer: Dr Manoj Kumar Naik

Faculty of Engineering and Technology, Siksha O Anusandhan, Bhubaneswar, Odisha – 751030, India

e-mail: naik.manoj.kumar@gmail.com

Main Paper:

Naik, M.K., Panda, R., Wunnava, A., Jena, B., Abraham, A., 2021. A leader Harris hawks optimization for 2-D Masi entropy-based multilevel image thresholding. Multimed. Tools Appl. https://doi.org/10.1007/s11042-020-10467-7

인용 양식

Naik, Manoj Kumar, et al. “A Leader Harris Hawks Optimization for 2-D Masi Entropy-Based Multilevel Image Thresholding.” Multimedia Tools and Applications, Springer Science and Business Media LLC, Feb. 2021, doi:10.1007/s11042-020-10467-7.

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개발 환경: R2018b

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받음: Harris hawks optimization (HHO): Algorithm and applications

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버전	게시됨	릴리스 정보
2.0.0	2021/9/19	Boundary conditions are added in each position update.	다운로드
1.0.0	2021/8/17		다운로드

MLA	Naik, Manoj Kumar, et al. “A Leader Harris Hawks Optimization for 2-D Masi Entropy-Based Multilevel Image Thresholding.” Multimedia Tools and Applications, Springer Science and Business Media LLC, Feb. 2021, doi:10.1007/s11042-020-10467-7.
APA	Naik, M. K., Panda, R., Wunnava, A., Jena, B., & Abraham, A. (2021). A leader Harris hawks optimization for 2-D Masi entropy-based multilevel image thresholding. Multimedia Tools and Applications. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs11042-020-10467-7
BibTeX	@article{Naik_2021, doi = {10.1007/s11042-020-10467-7}, url = {https://doi.org/10.1007%2Fs11042-020-10467-7}, year = 2021, month = {feb}, publisher = {Springer Science and Business Media {LLC}}, author = {Manoj Kumar Naik and Rutuparna Panda and Aneesh Wunnava and Bibekananda Jena and Ajith Abraham}, title = {A leader Harris hawks optimization for 2-D Masi entropy-based multilevel image thresholding}, journal = {Multimedia Tools and Applications} }