Improved many-objective particle swarm optimization based welding sequence optimization research.
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| Title: | Improved many-objective particle swarm optimization based welding sequence optimization research. |
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| Authors: | Dong L; Shenyang Institute of Computing Technology Chinese Academy of Sciences, Shenyang, China.; University of Chinese Academy of Sciences, Beijing, China.; AVIC Information Technology Co., Ltd., Beijing, China., Gu S; School of Mechanical Engineering Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China., Dong J; School of Mechanical Engineering Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China., Ji Q; School of Mechanical Engineering Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China., Liu J; School of Mechanical Engineering Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China. |
| Source: | PloS one [PLoS One] 2026 Mar 05; Vol. 21 (3), pp. e0343554. Date of Electronic Publication: 2026 Mar 05 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0343554 |
