Abstract
The purpose of this research is to present and compare the performance of well-known natural- inspired algorithms for solving 3D steel truss optimisations, including the Firefly Algorithm (FA), the Particle Swarm Optimisation (PSO), and the hybrid algorithm of PSO and FA, as HFPSO. Developing a new algorithm by combining two others aims to improve the original algorithms’ computational efficiency while avoiding their drawbacks. To test and assess the computing efficiency of the methods presented in this work, they will first be applied to a large set of well- known mathematical benchmark problems. Finally, the algorithms will be applied to optimise the 3D steel truss structure’s weight to provide the final evaluation and comparison of their performance.