The isogenic sequence double random genetic algorithm used in composite ply optimizations

Abstract

Aiming at various genetic algorithms commonly used in composite layer optimization, it is difficult to comprehensively consider complex engineering constraints such as surface 45°, layering ratio, and continuous layer number limit, in this paper, an isogenic sequence double random genetic algorithm is proposed for composite laminates. The introduction of double random algorithms in the exchange and mutation operators ensures the strict equality of gene sequences in the optimization iteration, and based on the SABRE software the optimization method is realized, and the correctness of the algorithm is verified through numerical examples. The results show that the proposed algorithm can fit complex engineering constraints such as balance, symmetry, surface 45°, continuous ply number limit, ply ratio, etc., and has high reliability and engineering applicability.

Keywords

• composite laminated structure
• optimization design
• genetic algorithm
• isogenic sequences
• double random algorithm
• sabre software