Jordan Journal of Civil Engineering

Optimal design of truss using a hybrid method based on particle swarm optimizer and harris hawk algorithm


Mohammad Yassmi; Payam Ashtari;


This paper presents two hybrid optimization methods known as PSOHHO and DPSOHHO optimization algorithm. In first method, using a number of formulas, the top populations are exchanged between the two algorithms and a new population is created and in the second method, we adopted the parallel optimization and optimized its performance. In this method, unlike other parallel methods, the population does not remain constant. With this ability, the strengths of an algorithm can be used to compensate for the weaknesses of the other algorithm. In these methods, no changes are made to the algorithms. The main goal is to use existing algorithms. These methods attain the optimal solution in the shortest time possible. Two algorithms of particle swarm optimization (PSO) and Harris Hawks's optimization (HHO) are used to present this method and three truss samples are considered to confirm the performance of this method. Based on the results, these methods have rapid convergence speed and acceptable results compared to other methods.


Meta-heuristic algorithms, Hybrid algorithm, Optimization, Dynamic hybrid algorithm, Truss