关键词: 人工蜂群算法, Taguchi方法, 车辆部件, 优化设计, 方差分析

Abstract: To address the structural design optimization problem of a vehicle component, Hybrid Robust Arti?cial Bee Colony（HRABC） algorithm based on Taguchi method is proposed. Taguchi method is used to generate Analysis of Variance（ANOVA） table of objective function. Suitable region of design variables by which robust primary population of arti?cial bee colony algorithm is defined can be found by ANOVA table. Then, expression based on multiple design variables of objective function can be used to extract solution space of arti?cial bee colony algorithm and get optimization results. Finally, the effectiveness and robustness of proposed approach is verified on the structural design optimization of a vehicle component and a multi-tool milling optimization problem. Analysis results show that proposed HRABC method has the best optimization effect on rate of convergence and effectiveness comparing with several frequently-used optimization algorithms.

Key words: artificial bee colony, Taguchi method, vehicle component, optimal designing, analysis of variance