@inproceedings{bcf4d1126a854ca4850e503e73a5aa33,
title = "Research on Genetic Algorithm of Mechanical Structure Optimization of Weight Reduction System",
abstract = "In this paper, genetic algorithm is proposed to optimize the mechanical structure. In order to assist patients with lower limb movement disorder in rehabilitation training, assist patients to stand, and achieve the purpose of rehabilitation training, a lower limb rehabilitation mobile device was designed. Because the patient is in the early stage of recovery, lower limbs cannot stand on their own. The weight reduction mechanism is an important part in the whole mobile equipment. The weight reduction mechanism can reduce the requirement of leg strength and satisfy the precondition of early rehabilitation training. At present, the orthogonal method has been used to design the weight reduction mechanism. Using genetic algorithm to optimize mechanical structure can achieved the goal of reducing the volume and weight of the structure without decreasing the output force. From the optimization simulation results, it can be seen that the genetic algorithm can be used to optimize the mechanical structure design, and the volume of the weight reduction mechanism decreases by 48\%. Compared with orthogonal design, genetic algorithm is an efficient structural optimization method.",
keywords = "Component, Genetic Algorithm, mechanical, optimization, structure",
author = "Huan Liu and Jian Li and Shigang Wang and Xueshan Gao and Dingji Luo and Pengfei Lv and Pengfei Zhang and Jiale Lv and Yongjie Shi and Hongjuan Che",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th IEEE International Conference on Mechatronics and Automation, ICMA 2020 ; Conference date: 13-10-2020 Through 16-10-2020",
year = "2020",
month = oct,
day = "13",
doi = "10.1109/ICMA49215.2020.9233587",
language = "English",
series = "2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "171--175",
booktitle = "2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020",
address = "United States",
}