Knowledge Commons of Institute of Automation，CAS
| A GPU Based Parallel Genetic Algorithm for the Orientation Optimization Problem in 3D Printing | |
Li, Zhishuai1,2 ; Xiong, Gang1,3; Zhang, Xipeng1; Shen, Zhen1,4; Luo, Can1; Shang, Xiuqin1; Dong, Xisong1,4; Bian, Gui-Bin1; Wang, Xiao1,4; Wang, Fei-Yue1
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| 2019-05-20 | |
| 会议名称 | 2019 International Conference on Robotics and Automation (ICRA) |
| 页码 | 2786-2792 |
| 会议日期 | May 20-24, 2019 |
| 会议地点 | Montreal, Canada |
| 出版者 | 2019 International Conference on Robotics and Automation (ICRA) |
| 摘要 | The choice of model orientation is a very impor- tant issue in Additive Manufacturing (AM). In this paper, the model orientation problem is formulated as a multi-objective optimization problem, aiming at minimizing the building time, the surface quality, and the supporting area. Then we convert the problem into a single-objective optimization in the linear- weighted way. After that, the Genetic Algorithm (GA) is used to solve the optimization problem and the process of GA is parallelized and implemented on GPU. Experimental results show that when dealing with complex models in AM, compared with CPU only implementation, the GPU based GA can speed up the process by about 50 times, which helps to significantly reduce the optimization time and ensure the quality of solutions. The GPU based parallel methods we proposed can help to reduce the execution time and improve the efficiency greatly, making the processes more efficient. |
| 关键词 | Orientation Optimization Gpu Parallel Computing Genetic Algorithm Additive Manufacturing |
| 学科门类 | 工学::控制科学与工程 |
| 收录类别 | EI |
| 资助项目 | China Guangdong's ST Project[2017B090912001] ; National Natural Science Foundation of China[61773382] ; National Natural Science Foundation of China[61702519] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[61702519] ; National Natural Science Foundation of China[61773382] ; China Guangdong's ST Project[2017B090912001] |
| 语种 | 英语 |
| 七大方向——子方向分类 | 人工智能+制造 |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/26148 |
| 专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
| 通讯作者 | Shen, Zhen |
| 作者单位 | 1.the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.the School of Artificial Intelligence, University of Chinese Academy of Sciences 3.the Cloud Computing Center, Chinese Academy of Sciences 4.the Qingdao Academy of Intelligent Industries |
| 第一作者单位 | 中国科学院自动化研究所 |
| 通讯作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Li, Zhishuai,Xiong, Gang,Zhang, Xipeng,et al. A GPU Based Parallel Genetic Algorithm for the Orientation Optimization Problem in 3D Printing[C]:2019 International Conference on Robotics and Automation (ICRA),2019:2786-2792. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| A_GPU_Based_Parallel（195KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
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