Evidence map›Paper›PMID 33286069›Full record

ArticleEntropy (Basel, Switzerland)2020

Path Planning of Pattern Transfer Based on Dual-Operator and a Dual-Population Ant Colony Algorithm for Digital Mask Projection Lithography.

Yingzhi Wang, Tailin Han, Xu Jiang, Yuhan Yan, Hong Liu

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yingzhi WangSchool of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.ORCID 0000-0003-2193-0242
Tailin HanSchool of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Xu JiangSchool of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Yuhan YanSchool of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Hong LiuSchool of Opto-electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China.

Funding

Department of Science and Technology of Jilin Province 20150204015GXDepartment of Science and Technology of Jilin Province 20170204053GXEducation Department of Jilin Province JJKH20200774KJ
6 · The paper itself

Abstract

In the process of digital micromirror device (DMD) digital mask projection lithography, the lithography efficiency will be enhanced greatly by path planning of pattern transfer. This paper proposes a new dual operator and dual population ant colony (DODPACO) algorithm. Firstly, load operators and feedback operators are used to update the local and global pheromones in the white ant colony, and the feedback operator is used in the yellow ant colony. The concept of information entropy is used to regulate the number of yellow and white ant colonies adaptively. Secondly, take eight groups of large-scale data in TSPLIB as examples to compare with two classical ACO and six improved ACO algorithms; the results show that the DODPACO algorithm is superior in solving large-scale events in terms of solution quality and convergence speed. Thirdly, take PCB production as an example to verify the time saved after path planning; the DODPACO algorithm is used for path planning, which saves 34.3% of time compared with no path planning, and is about 1% shorter than the suboptimal algorithm. The DODPACO algorithm is applicable to the path planning of pattern transfer in DMD digital mask projection lithography and other digital mask lithography.

Indexed as

adaptive algorithmDMDdual-operator and dual-population ant colony algorithmpath planningpattern transfer

Identifiers

PMID33286069
PMCPMC7516752

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.