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题名:
A restructured artificial bee colony optimizer combining life-cycle, local search and crossover operations for droplet property prediction in printable electronics fabrication
作者: Jing, Shikai; Ma LB(马连博); Hu KY(胡琨元); Zhu YL(朱云龙); Chen HN(陈瀚宁)
作者部门: 信息服务与智能控制技术研究室
通讯作者: Chen HN(陈瀚宁)
关键词: Artificial bee colony algorithm ; Life-cycle • Local search ; Crossover ; Printable electronics ; Droplet property prediction
刊名: Journal of Intelligent Manufacturing
ISSN号: 0956-5515
出版日期: 2018
卷号: 29, 期号:1, 页码:109–134
收录类别: SCI ; EI
EI收录号: 20152300902142
WOS记录号: WOS:000419167400007
产权排序: 2
项目资助者: National Natural Science Foundation of China (Nos. 61174164, 61203161, and 51205389) and Liaoning Provincial Natural Science Foundation of China (2014010094-301)
摘要: For printable electronics fabrication, a major challenge is the print resolution and accuracy delivered by a drop-on-demand piezoelectric inkjet printhead. In order to meet the challenging requirements of printable electronics fabrication, this paper proposes a novel restructured artificial bee colony optimizer called HABC for optimal prediction of the droplet volume and velocity. The main idea of HABC is to develop an adaptive and cooperative scheme by combining life-cycle, Powell’s search and crossover-based social learning strategies for complex optimizations. HABC is a more biologically-realistic model that the reproduce and die dynamically throughout the foraging process and the population size varies as the algorithm runs. With the crossover operator, the information exchange ability of the bees can be enhanced in the early exploration phase while the Powell’s search enables the bees deeply exploit around the promising area, which provides an appropriate balance between exploration and exploitation. The proposed algorithm is benchmarked against other four state-of-the-art bio-inspired algorithms using both classical and CEC2005 test function suites. Then HABC is applied to predict the printing quality using nano-silver ink. Statistical analysis of all these tests highlights the significant performance improvement due to the beneficial combination and shows that the proposed HABC outperforms the reference algorithms.
语种: 英语
WOS标题词: Science & Technology ; Technology
类目[WOS]: Computer Science, Artificial Intelligence ; Engineering, Manufacturing
关键词[WOS]: NUMERICAL FUNCTION OPTIMIZATION ; GLOBAL OPTIMIZATION ; PARTICLE SWARM ; ALGORITHM ; EVOLUTION
研究领域[WOS]: Computer Science ; Engineering
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/16151
Appears in Collections:信息服务与智能控制技术研究室_期刊论文

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作者单位: 1.School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 110081, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.School of Computer Science and Software, Tianjin Polytechnic University, Tianjin, 300387, China

Recommended Citation:
Jing, Shikai,Ma LB,Hu KY,et al. A restructured artificial bee colony optimizer combining life-cycle, local search and crossover operations for droplet property prediction in printable electronics fabrication[J]. Journal of Intelligent Manufacturing,2018,29(1):109–134.
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文件名: A restructured artificial bee colony optimizer combining life-cycle, local search and crossover operations for droplet property prediction in printable electronics fabrication.pdf
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