Comparative study of recent metaheuristics for solving a multiobjective transonic aeroelastic optimization of a composite wing

A transonic aeroelastic optimization approach for composite wing structure is proposed in this study. Aerodynamic influence coefficient matrices are generated using doublet lattice method. The steady state part is then corrected by high fidelity computational fluid dynamic analysis for better accuracy at transonic speed. A mutiobjective transonic aeroelastic optimization problem for composite wing structure is then developed. The objective functions are mass and critical speed while design constraints are structural and aeroelastic limits. A comparative study of eight state-of-the-art algorithms on the problem is performed. Additional results of 21 mechanical optimization problems are evaluated to further investigate performance and versatility of the algorithms. Overall, the Multiobjective Manta Ray Foraging Optimizer is the best algorithm in this study with the best results in the aeroelastic optimization problem and the second-best results in mechanical problems.

Automated summary

In this study, a transonic aeroelastic optimization approach for composite wing structure is proposed. The aerodynamic influence coefficient matrices are generated using the doublet lattice method and corrected by high fidelity computational fluid dynamic analysis. A multiobjective transonic aeroelastic optimization problem is developed with mass and critical speed as objective functions and structural and aeroelastic limits as design constraints. A comparative study of eight state-of-the-art algorithms is performed, and additional results of 21 mechanical optimization problems are evaluated. The Multiobjective Manta Ray Foraging Optimizer is found to be the best algorithm in terms of aeroelastic optimization and the second best in mechanical problems.