Comparison of Two Metaheuristic Algorithms on Sizing and Topology Optimization of Trusses and Mathematical Functions

Abstract

Optimal solution of a desired optimization problem is mostly obtained via minimizing ormaximizing a real function considering several predefined limitations. Selection of properoptimization algorithm as an optimizer tool plays a key role on the solution process. In thisrespect, current study intends to compare the performances of two different prevalentmetaheuristic optimization algorithms. These are integrated particle swarm optimizer (iPSO)and teaching and learning based optimizer (TLBO). The former method is a single-phasealgorithm while the latter one is the double-phase algorithm. Capabilities of both algorithmswere compared separately on some mathematical benchmark test problems. Furthermore, toexhibit and compare their performance on solving more complex problems, size and topologyoptimization of the structural systems are also examined. Achieved results demonstrate thesuperiority of iPSO in comparison with TLBO in both search capability and convergence rate.