Determining the best practice – Optimal designs of composite helical structures using Genetic Algorithms

Composite helical structures (CHSs) can store and release strain energy through elastic deformation, which have been used in automobile aerospace structures. The compressive stiffness to weight ratio is the core design of these structures, requiring an optimal geometric configuration. Seven state-of-the-art Genetic Algorithms were employed benchmarked optimise two conflicting objectives, maximising while minimising weight. All variables that having effects on CHSs had considered, are helix angle, number active coils, diameter, outer inner diameter cross-section, ply angle. A quantitative analysis method, mimicked inverted generational distance (mIGD), was determine best practice Algorithms. This study shows selection Algorithm crucial multi-objective evolutionary algorithm based decomposition (MOEA/D) solver searching designs maximum minimum