Weight minimization of truss structures using an improved Harris hawks optimization algorithm

As a result of the current economic problems, optimization and proper material use have received a great deal of attention. In light of the wide range of parameters involved, applying mathematical methods is not rational. Therefore, metaheuristic techniques have been developed. Many researchers have been interested in optimizing structural weight using various methods. The present study aims to optimize truss structures using the improved Harris hawks optimization (IHHO) algorithm. Equations of the HHO algorithm are modified to improve its optimization process. IHHO has new formulation to achieve better answers. Stress and displacement are considered constraints. These constraints restrict the obtained solutions from being within the allowable range. In total, five trusses structures with 10, 25, 72, 200, and 942 members are selected for optimization. All of these structures are numerically modeled in MATLAB. Comparisons are made between the results of the proposed algorithm and those of other existing algorithms. Compared with the results of the HHO algorithm, the IHHO algorithm has a higher convergence rate and provides better solutions. Additionally, compared to other algorithms, this hybrid approach would provide better results.