Mayfly Optimization Algorithm

Mayfly Algorithm for global optimization

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This simplified Matlab demo code shows how to use the new Mayfly Algorithm to solve global continuous optimization problems.
Researchers are allowed to use this code in their research projects, as long as they cite as:
Zervoudakis, K., & Tsafarakis, S. (2020). A mayfly optimization algorithm. Computers & Industrial Engineering, 145, 106559. https://doi.org/10.1016/j.cie.2020.106559

Citar como

Konstantinos Zervoudakis (2026). Mayfly Optimization Algorithm (https://la.mathworks.com/matlabcentral/fileexchange/76902-mayfly-optimization-algorithm), MATLAB Central File Exchange. Recuperado .

Zervoudakis, K. and Tsafarakis, S. (2020). A mayfly optimization algorithm. Computers & Industrial Engineering, 145, 106559. https://doi.org/10.1016/j.cie.2020.106559

Zervoudakis, K. and Tsafarakis, S. (2022), “Mayfly optimization Algorithm - Matlab code”, Mendeley Data, V3, doi: 10.17632/5w58s8hhz2.3

Información general

Compatibilidad con la versión de MATLAB

  • Compatible con cualquier versión desde R2018a

Compatibilidad con las plataformas

  • Windows
  • macOS
  • Linux
Versión Publicado Notas de la versión Action
2.9.10

Update

2.9.9

Update

2.9.6

Site added

2.9.5

Update information

2.9.4

Update citations

2.9.3

Mendeley citation updated

2.9.2

Mendeley citation updated

2.9.1

Update Notes

2.9.0

Name changed

2.8

image changed

2.7

Update citation

2.6

Additional fixes

2.5

Mutation process for different dimensions, is now fixed.

2.4

Additional fixes

2.3

Add citation from Mendeley

2.0.2

Additional fixes

2.0.1

The code has been simplified

1.0.2

Rastrigin function is now included.

1.0.1

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1.0.0