TY -的A2 Scarpiniti米歇尔盟,阮Duc南盟——刀,Thanh-Phong AU -洲,Ngoc乐盟——见鬼,范·安PY - 2019 DA - 2019/01/27 TI -有限元方法的混合方法,Kigring元模型和多目标遗传算法的优化计算弯曲肘关节上肢辅助设备SP - 3231914六世- 2019 AB -为机器人关节建模是复杂,可能会导致错误的帕累托最优解决方案。因此,本文发展一种新的混合方法的多目标优化设计弯曲肘关节。联合是专为身体残疾人的上肢辅助设备。优化问题考虑三个设计变量和两个目标函数。中心复合设计的一种有效的混合优化方法(CDD)有限元方法(FEM), Kigring元模型和多目标遗传算法(分公司)。使用CDD建立数值实验的数量。有限元法开发了检索的应变能和反应力。然后,Kigring元模型作为黑盒找到pseudoobjective功能。基于pseudoobjective功能,莫卡应用于找到最优的解决方案。传统上,一个进化优化算法只能发现一个帕累托。 However, the proposed approach can generate 6 Pareto-optimal solutions, as near optimal candidates, which provides a good decision-maker. Based on the user’s real-work problem, one of the best optimal solutions is chosen. The results found that the optimal strain energy is about 0.0033 mJ and the optimal torque is approximately 588.94 Nm. Analysis of variance is performed to identify the significant contribution of design variables. The sensitivity analysis is then carried out to determine the effect degree of each parameter on the responses. The predictions are in a good agreement with validations. It confirms that the proposed hybrid optimization approach has an effectiveness to solve for complex optimization problems. SN - 1076-2787 UR - https://doi.org/10.1155/2019/3231914 DO - 10.1155/2019/3231914 JF - Complexity PB - Hindawi KW - ER -