An Adaptive Marine Predator Algorithm Based Optimization Method for Hood Lightweight Design

Abstract The lightweight design of the hood is crucial for structural optimization an entire vehicle. However, traditional high-fidelity-based methods are time-consuming due to complex structures hood, and results heavily rely on engineering experiences. To this end, improved Adaptive Marine Predator Algorithm (AMPA) proposed solve problem. Compared original (MPA), AMPA adapts problems through three enhancements, including chaotic theory-based initialization, a mixed search strategy, dynamic partitioning iteration phases. Experimental comparisons AMPA, MPA eight state-of-the-art algorithms conducted IEEE CEC2017 benchmark functions. outperforms others in both 30- 50-dimensional experiments. Friedman Wilcoxon's sign-rank tests further confirm AMPA's superiority statistical significance. An implicit parametric model generated, critical variables determined global sensitivity analysis realize lightweight. stacking method employed construct surrogate meta-model accelerate efficiency vehicle hood. Utilizing mass reduced by 7.43% while all six static stiffness metrics enhanced. effectiveness validated finite element analysis.