SeqGPT: A Constrained Transformer Agent for the Inverse Design of Multi-Panel Composite Structures
Optimizing composite stacking sequences to match continuous targets (e.g., Lamination or Buckling Parameters) with discrete manufacturing constraints represents a challenging combinatorial inverse problem that regularly occurs in composite design especially when numerical optimization approaches are used (bi-step, bi-level configurations). In multipanel configurations, this complexity is further intensified by blending, a global compatibility/continuity requirement between the different panel stackings. This study presents SeqGPT, a conditional Transformer agent developed to replace computationally expensive iterative methods. To ensure both global continuity and manufacturing feasibility...
| Authors | Driss Chraibi, Alejandro García Pis, Stéphane Grihon et al. |
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| Primary category | cs.NE |
| Published | 3 July 2026 |
| Last updated at source | 3 July 2026 |
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