The invention discloses an automobile front
subframe lightweight design method considering
modal constraint. The method comprises the following steps: (1) constructing a front
subframe parameterized model and a weight-
modal simulation model by adopting CATIA (Computer-
graphics Aided Three-dimensional Interactive Application) and Altar Optistruct; (2) establishing a
population in a
design space based on a space filling Latin
hypercube sampling method; (3) constructing a classification cooperation speed updating formula based on a
particle swarm algorithm to generate
offspring particle individuals; (4) constructing a
Gaussian process
machine learning model and a fitness
evaluation function, and screening an optimal
offspring particle
individual based on a feasibility rule; and (5) constructing a comprehensive
score calculation formula according to a statistical
ranking method to determine the updating condition of the
population individuals, updating the
database and skipping to the step (3) until the optimized structure meets the requirement. According to the method, the coverage capability of the filial generation in the target space is enhanced through the classification collaborative speed updating formula, and the prediction precision of the
Gaussian process
machine learning model is continuously improved, so that the optimization performance of the lightweight of the front
subframe of the automobile is improved.