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A restructured artificial bee colony optimizer combining life-cycle, local search and crossover operations for droplet property prediction in printable electronics fabrication
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
关键词Artificial Bee Colony Algorithm Life-cycle • Local Search Crossover Printable Electronics Droplet Property Prediction
发表期刊Journal of Intelligent Manufacturing
ISSN0956-5515
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
资助机构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
WOS类目Computer Science, Artificial Intelligence ; Engineering, Manufacturing
关键词[WOS]NUMERICAL FUNCTION OPTIMIZATION ; GLOBAL OPTIMIZATION ; PARTICLE SWARM ; ALGORITHM ; EVOLUTION
WOS研究方向Computer Science ; Engineering
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/16151
专题信息服务与智能控制技术研究室
通讯作者Chen HN(陈瀚宁)
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
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GB/T 7714
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.
APA Jing, Shikai,Ma LB,Hu KY,Zhu YL,&Chen HN.(2018).A restructured artificial bee colony optimizer combining life-cycle, local search and crossover operations for droplet property prediction in printable electronics fabrication.Journal of Intelligent Manufacturing,29(1),109–134.
MLA Jing, Shikai,et al."A restructured artificial bee colony optimizer combining life-cycle, local search and crossover operations for droplet property prediction in printable electronics fabrication".Journal of Intelligent Manufacturing 29.1(2018):109–134.
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