Adaptive optimization of the Monte-Carlo method

Nakonechnyi, A. N.; Shpak, V. D.

doi:10.1007/bf02366360

Cited by 2 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Monte Carlo method (MCM), a numerical analysis of mathematical models [ 12 ], is a traditional method for optimizing mechanical structures by iterative finite element calculations with random sampling to continuously modify the model parameters [ 13 , 14 , 15 , 16 ]. The whole process requires a large number of samples and calculations, with high time and cost, and sometimes the optimization results have difficulty meeting the design accuracy requirements [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Optical Machine Structure by Backpropagation Neural Network Based on Particle Swarm Optimization and Bayesian Regularization Algorithms

Zhang

Sun

2021

Materials

View full text Add to dashboard Cite

Fit of the highly nonlinear functional relationship between input variables and output response is important and challenging for the optical machine structure optimization design process. The backpropagation neural network method based on particle swarm optimization and Bayesian regularization algorithms (called BMPB) is proposed to solve this problem. A prediction model of the mass and first-order modal frequency of the supporting structure is developed using the supporting structure as an example. The first-order modal frequency is used as the constraint condition to optimize the lightweight design of the supporting structure’s mass. Results show that the prediction model has more than 99% accuracy in predicting the mass and the first-order modal frequency of the supporting structure, and converges quickly in the supporting structure’s mass-optimization process. The supporting structure results demonstrate the advantages of the method proposed in the article in terms of high accuracy and efficiency. The study in this paper provides an effective method for the optimized design of optical machine structures.

show abstract