...Liang Zeng; Dongxu Zhang; Yong-Hua Li; Jie Jiang Purpose Aiming at the shortcoming of the Kriging model with low efficiency of fitting accuracy, a new multi-objective optimization method for complex structures based on improved Kriging model is proposed. Design/methodology/approach Firstly...

... was introduced to find the weights and thresholds of the BP neural network. A new active-learning function was proposed to improve the prediction accuracy of the MPA-BP neural network. Active-learning function Backpropagation (BP) neural network Reliability Robust design Multi-objective optimization...

...Yong-Hua Li; Ziqiang Sheng; Pengpeng Zhi; Dongming Li Purpose How to get a lighter and stronger anti-rolling torsion bar has become a barrier for the development of high-speed railway vehicles. The purpose of this paper is to realize the multi-objective optimization of an anti-rolling torsion bar...