Evaluation of The Performance of Butterfly Optimization Algorithm in Solving High-Dimensional Numerical Optimization Problems

The butterfly optimization algorithm is one of the metaheuristic algorithms that models foraging behavior butterflies. It appears in literature it has been used successfully solution many problems. Control parameters and dimension problem directly affect performance a algorithm. When possible problems are evaluated, some may be low-dimensional, while others high-dimensional. At same time, expected successful on high-dimensional as well. In this study, evaluated solving numerical compared with artificial bee colony algorithm, harmony search flower pollination Wilcoxon signed-rank test to analyze significance results. results show generally more than other