Mayfly Optimization Algorithm

Version 2.9.10 (4.09 KB) by Konstantinos Zervoudakis
Mayfly Algorithm for global optimization
5.0
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2.5K Downloads
Updated 31 Oct 2024

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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
For more information go to: https://sites.google.com/view/kzervoudakis/research/metaheuristics/mayfly-algorithm

Cite As

Konstantinos Zervoudakis (2024). Mayfly Optimization Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/76902-mayfly-optimization-algorithm), MATLAB Central File Exchange. Retrieved .

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

MATLAB Release Compatibility
Created with R2019a
Compatible with R2018a and later releases
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
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