Artificial Bee Colony Algorithm Based on K-Means Clustering for Droplet Property Optimization
文献类型：会议论文
| 作者 | Sun LL(孙丽玲) ; Hu JT(胡静涛); He MW(何茂伟); Chen HN(陈瀚宁)
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| 出版日期 | 2015 |
| 会议名称 | 8th International Conference on Intelligent Robotics and Applications (ICIRA 2015) |
| 会议日期 | August 24-27, 2015 |
| 会议地点 | Portsmouth, UK |
| 关键词 | Piezoelectric inkjet system Lumped element modeling Artificial bee colony algorithm Swarm intelligent algorithm |
| 页码 | 34-44 |
| 中文摘要 | The major challenge in printable electronics fabrication is to effectively and accurately control a drop-on-demand (DoD) inkjet printhead for high printing quality. In this paper, a prediction model based on Lumped Element Modeling (LEM) is proposed to search the parameters of driving waveform for obtaining the desired droplet properties. Although the evolution algorithms are helpful to solve this problem, the classical evolution algorithms may get trapped into local optimal due to the inefficiency of local search. To overcome it, we present an improved artificial bee colony algorithm based on K-means clustering (KCABC), which enhances the population diversity by dynamically clustering and increases the convergence rates by the modification of information communication in the employed bees’ phase. Combined with KCABC, the prediction model is applied to optimize the droplet volume and velocity of nano-silver ink for high printing quality. Experimental results demonstrate the proposed prediction model with KCABC plays a good performance in terms of efficiency and accuracy of searching the appropriate combination of waveform parameters for printable electronics fabrication. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Lecture Notes in Computer Science
 |
| 会议录出版者 | Springer Verlag |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-319-22878-5 |
| WOS记录号 | WOS:000364714000004 |
| 源URL | [http://ir.sia.cn/handle/173321/17378]  |
| 专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
| 推荐引用方式 GB/T 7714 | Sun LL,Hu JT,He MW,et al. Artificial Bee Colony Algorithm Based on K-Means Clustering for Droplet Property Optimization[C]. 见:8th International Conference on Intelligent Robotics and Applications (ICIRA 2015). Portsmouth, UK. August 24-27, 2015. |
入库方式： OAI收割
来源：沈阳自动化研究所
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