… analyze the algorithms and their variants before improving them. This paper aims to review
and analyze the moth-flame … evaluation, and statistical analysis required before improving a …

… This perspective article describes application of Moth Flame Optimization algorithm to optimize
… Statistical analysis suggests that MFO optimizes various objective function significantly. …

… Also, statistical testing of E-MFO has been done to prove … moth flame optimization to increase
the performance of algorithm. In this section, the effect of individual modification is analyzed …

… In addition, the statistical results analyzed by the Friedman test proved that the M-MFO
demonstrates competitive performance compared to the contender algorithms used in the …

… The statistical analysis of this research illustrated that MFO is able to produce competitive
results by yielding lower power loss and lower voltage deviation than the selected techniques …

… The Moth Flame Optimization (MFO) algorithm shows decent … newly introduced algorithm
statistically. The computational … results of benchmark functions, statistical analysis, real-world …

… Examples of previously published works could be found in the literature with statistical
analysis methods [2], analytical hierarchical process [3], probabilistic approach [4, 5], weight of …

… The results were then statistically analyzed through the Friedman test. Ultimately, the capacity
of … The experimental results and statistical analysis confirmed that the proposed MFO-SFR …

… The experimental part of this article is rich as it not only compares the proposed algorithm
with other popular algorithms but also tests the diversity, effect of parameter, statistical analysis …

… In this section, the results obtained in the preceding section are first statistically analyzed
using the non-parametric Friedman test. The Bonferroni and Tukey post hoc producers are then …