Comparative Analysis of the Performance of Recent Optimization Algorithms in Solving Engineering Problems

Intelligent optimization algorithms are currently the mainstream methods for solving engineering design problems. This paper conducts a comprehensive analysis of the performance of five recent intelligent optimization algorithms in solving eight engineering design problems. The simulation results, along with the Wilcoxon Signed-Rank Test (WSRT), Friedman Test (FT), and the results of the boxplot, indicate that the APO algorithm has significant advantages in solving this types of problems.