CAJ | 학술논문

针对车辆部件的结构设计制造优化问题，提出了基于Taguchi方法的混合鲁棒人工蜂群算法（HRABC）。采用Taguchi方法生成了目标函数的方差分析（ANOVA）表，根据ANOVA表寻找到设计变量的合理区间，并根据这些区间定义人工蜂群算法的鲁棒初始种群；利用基于目标函数的多个设计变量的影响提取人工蜂群算法的解空间，从而得到优化结果。在车辆部件结构设计优化及多刀具铣削优化问题上，验证了所提算法的有效性及鲁棒性。分析结果表明，与几种常用的优化算法相比，在收敛速度和有效性方面，该HRABC算法具有最好的优化效果。
침대차량부건적결구설계제조우화문제，제출료기우Taguchi방법적혼합로봉인공봉군산법（HRABC）。채용Taguchi방법생성료목표함수적방차분석（ANOVA）표，근거ANOVA표심조도설계변량적합리구간，병근거저사구간정의인공봉군산법적로봉초시충군；이용기우목표함수적다개설계변량적영향제취인공봉군산법적해공간，종이득도우화결과。재차량부건결구설계우화급다도구선삭우화문제상，험증료소제산법적유효성급로봉성。분석결과표명，여궤충상용적우화산법상비，재수렴속도화유효성방면，해HRABC산법구유최호적우화효과。
To address the structural design optimization problem of a vehicle component, Hybrid Robust Arti fi 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 artificial 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 artificial 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 compo-nent and a multi-tool milling optimization problem. Analysis results show that proposed HRABC method has the best opti-mization effect on rate of convergence and effectiveness comparing with several frequently-used optimization algorithms.