Equilibrium Slime Mould Algorithm (ESMA) Source Code

버전 1.0.0 (6.1 KB) 작성자: Manoj Kumar Naik

An improvement of the Slime Mould Algorithm (SMA), by integrating the equilibrium concepts from an Equilibrium Optimizer (EO).

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업데이트 날짜: 2021/10/8

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An improvement of the Slime Mould Algorithm (SMA), by integrating the equilibrium practice in updating the slime mould positions from an equilibrium pool concept of Equilibrium Optimizer (EO). The ESMA performance is compared with well know optimization algorithms and ranked one based on Friedman’s mean rank, when evaluated benchmark test problems.

인용 양식

Naik, Manoj Kumar, et al. “An Entropy Minimization Based Multilevel Color Thresholding Technique for Analysis of Breast Thermograms Using Equilibrium Slime Mould Algorithm.” Applied Soft Computing, Elsevier BV, Oct. 2021, p. 107955, doi:10.1016/j.asoc.2021.107955.

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개발 환경: R2018b

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받음: Slime Mould Algorithm (SMA): A Method for Optimization, Leader Slime Mould Algorithm, Adaptive Opposition Slime Mould Algorithm (AOSMA)

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버전	게시됨	릴리스 정보
1.0.0	2021/10/8		다운로드

MLA	Naik, Manoj Kumar, et al. “An Entropy Minimization Based Multilevel Color Thresholding Technique for Analysis of Breast Thermograms Using Equilibrium Slime Mould Algorithm.” Applied Soft Computing, Elsevier BV, Oct. 2021, p. 107955, doi:10.1016/j.asoc.2021.107955.
APA	Naik, M. K., Panda, R., & Abraham, A. (2021). An entropy minimization based multilevel color thresholding technique for analysis of breast thermograms using equilibrium slime mould algorithm. Applied Soft Computing, 107955. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.asoc.2021.107955
BibTeX	@article{Naik_2021, doi = {10.1016/j.asoc.2021.107955}, url = {https://doi.org/10.1016%2Fj.asoc.2021.107955}, year = 2021, month = {oct}, publisher = {Elsevier {BV}}, pages = {107955}, author = {Manoj Kumar Naik and Rutuparna Panda and Ajith Abraham}, title = {An entropy minimization based multilevel color thresholding technique for analysis of breast thermograms using equilibrium slime mould algorithm}, journal = {Applied Soft Computing} }