Optimization of structure using hybrid Harris hawks and genetic algorithm

Today, due to existing economic issues, optimization and maximum use of materials are highly regarded. Due to the wide range of parameters, the use of mathematical methods is not logical. For this reason, meta-heuristic methods have expanded. In the field of structures, weight optimization using various methods is of great interest. Due to the importance of truss, in this paper, the optimization of truss has been done using a hybrid algorithm of harris hawks and genetics. The harris hawks algorithm is one of the newest algorithms in the field of optimization, which is derived from the natural behavior of animals. In the harris hawks algorithm, the mutation process, which belongs to the genetic algorithm, is used. The optimization is constrained; therefore the constraints of stress and displacement have been selected. Four trusses, planer 10-bar truss, spatial 25‑ bar truss, spatial 72‑ bar space truss and planner 200 bar truss have been selected for optimization. The implementation of harris hawks algorithm has been done in MATLAB software. The results obtained from harris hawks-genetic algorithm are compared with other available sources. The study shows the acceptable performance of this hybrid algorithm for truss. The harris hawks-genetic hybrid algorithm has faster convergence speed.