A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing

In order to develop the dynamic effectiveness of structures such as trusses, application optimisation methods plays a significant role in improving shape and size elements. However, conjoining two heterogeneous variables, nodal coordinates cross-sectional elements, makes challenging problem that is nonlinear, multimodal, large-scale with constraints. To handle these challenges, evolutionary swarm algorithms can be robust practical tools show great potential solve complex problems. This paper proposed comparative truss framework structures, including 314-bar 260-bar trusses. The consists twelve state-of-the-art bio-inspired algorithms. experimental results marine predators algorithm (MPA) performed best compared other terms convergence speed quality designs