… Due to the application of inertia weight, self-adaptive mothflame optimization (SAMFO) …
Finally, a statistical analysis is performed to exhibit the superiority of the proposed approach…

… To this purpose, an improved moth flame optimization technique is applied to different
test … Moth movement with respect to the light source is the basis for improved moth flame …

… of the above seven algorithms, we present the statistical results of 30 independent experiments
in … The experimental and statistical analyses verify the excellent performance of ALFMFO, …

… It is a second derivative statistical analysis method, which specifies the intensity variation
of pixel elements in different direction and orientation. It gives the distribution of common gray …

… Finally the comparitive analysis based MFO based optimization approach in OPF with …
is run 20 times to determine the statistical characteristics of the given methodology, which are …

… For demonstrating the reliability of this study, some statistical analysis and results are
achieved. Thus, Figure 6 presents the convergence curve of LPSP based on different algorithms. …

… We present the resulting statistics on five social network datasets—NetScience, Email, …
reports the statistical analysis results, taking DMFO as the control method. Based on our analysis, …

… Moths in universe called the Moth-Flame optimization (MFO) Algorithm, is applied for constrained
optimization and engineering design problems. A comparative analysis … and statistical …

… Moth-Flame Optimization (MFO) to determine the optimal multilevel thresholding for image
segmentation. The MFO algorithm is inspired from the natural behavior of moths … analyzed …

… The simulation results are presented graphically for an enhanced analysis. The results of …
, Section 6 concludes the work and advocates numerous guidelines for future analysis. …