Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm

  • Sami N. Hussein1
  • Nazar K. Hussein2

Abstract

The MFO algorithm is one of the modern optimization algorithms based on swarm intelligence, and the SMA algorithm is also one of the latest algorithms in the same field and has the advantages of fast convergence, high convergence accuracy, robust and robust. In this research paper, we introduce an optimized algorithm for MFO based on the SMA algorithm to get better performance using the features in the two algorithms, and two different algorithms are proposed in this field. The two predicted new algorithms were tested with standard test functions and the results were encouraging compared to the standard algorithms.


 


http://dx.doi.org/10.25130/tjps.26.2021.011

Published
Jan 24, 2022
How to Cite
HUSSEIN1, Sami N.; HUSSEIN2, Nazar K.. Improving Moth-Flame Optimization Algorithm by using Slime-Mould Algorithm. Tikrit Journal of Pure Science, [S.l.], v. 27, n. 1, p. 99-109, jan. 2022. ISSN 2415-1726. Available at: <https://tjps.tu.edu.iq/index.php/j/article/view/1255>. Date accessed: 23 may 2022. doi: http://dx.doi.org/10.25130/j.v27i1.1255.
Section
Articles