Adaptive reliability optimization design based on the IABC-Kriging model
LIU Hanru
ZHI Pengpeng
HE Ruiheng
ZHANG Junfu
ZHAO Yadong
Abstract：[Objective]Aiming at the problems of difficult characterization of performance functions and low efficiency in reliability optimization design of complex mechanical structures,an adaptive reliability optimization design method based on the improved artificial bee colony(IABC)algorithm and parallel infilling Kriging model was proposed.[Methods]Firstly,a parametric structural performance function model was established,and the relation between design variables and performance functions was characterized by the Kriging model.Secondly,a parallel infilling strategy combining adaptive learning functions H and B was proposed to improve the fitting accuracy.Then,the IABC algorithm was developed by improving the adaptive step size adjustment,global optimal nectar source tracking,and roulette mechanism to enhance efficiency.Finally,the Joint Committee on Structural Safety combined method(JC),and IABC algorithm were integrated to obtain the optimal solution under reliability constraints.[Results]Numerical examples demonstrate that the proposed method balances the accuracy and efficiency of structural reliability optimization.Compared with traditional methods,the number of performance function calls is significantly reduced,the effective calculation methods for the robust design of complex structures are provided.
Keywords：Kriging modelReliability optimization designArtificial bee colony algorithmLearning functionParallel infilling strategy
Publication Date：2026-03-15
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：9( 1-9 )