Performance assessment of meta-heuristics for composite layup optimisation

Abstract This paper investigates the performance of several meta-heuristic algorithms, including Particle Swarm Optimisation (PSO), different variants Differential Evolution (DE), Biogeography-Based (BBO), Cultural Algorithm (CA), Optics-Inspired (OIO), and League Championship (LCA), for optimum layup laminated composite plates. The study provides detailed Pseudo codes algorithms. buckling capacity maximisation a 64-layer plate under various load scenarios has been considered as benchmark problem, in which design variables are stacking sequences layers. A Deep Statistical Comparison (DSC) method is employed to rank DSC uses nonparametric two-sample Kolmogorov-Smirnov test conduct comparisons between overall rankings obtained from suggest that LCA, OIO, PSO algorithms perform remarkably better comparison other provide some interesting conclusions on