An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem
In the context of sustainable development strategies, the recycling of discarded products has become increasingly important with the development of electronic technology. Choosing the human–robot collaborative disassembly mode is the key to optimizing the disassembly process and ensuring maximum eff...
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| Format: | Article |
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MDPI AG
2024-03-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/12/6/816 |
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| author | Qi Zhang Bin Xu Man Yao Jiacun Wang Xiwang Guo Shujin Qin Liang Qi Fayang Lu |
| author_facet | Qi Zhang Bin Xu Man Yao Jiacun Wang Xiwang Guo Shujin Qin Liang Qi Fayang Lu |
| author_sort | Qi Zhang |
| collection | DOAJ |
| description | In the context of sustainable development strategies, the recycling of discarded products has become increasingly important with the development of electronic technology. Choosing the human–robot collaborative disassembly mode is the key to optimizing the disassembly process and ensuring maximum efficiency and benefits. To solve the problem of human–robot cooperative parallel dismantling line balance, a mixed integer programming model is established and verified by CPLEX. An improved Moth-Flame Optimization (IMFO) algorithm is proposed to speed up convergence and optimize the disassembly process of various products. The effectiveness of IMFO is evaluated through multiple cases and compared with other heuristics. The results of these comparisons can provide insight into whether IMFO is the most appropriate algorithm for the problem presented. |
| first_indexed | 2024-04-24T18:03:05Z |
| format | Article |
| id | doaj.art-d163d2c9bc8a47c6b114b1362b979832 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-04-24T18:03:05Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-d163d2c9bc8a47c6b114b1362b9798322024-03-27T13:52:59ZengMDPI AGMathematics2227-73902024-03-0112681610.3390/math12060816An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing ProblemQi Zhang0Bin Xu1Man Yao2Jiacun Wang3Xiwang Guo4Shujin Qin5Liang Qi6Fayang Lu7College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, ChinaCollege of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, ChinaSchool of Basic Medicine, He University, Shenyang 110163, ChinaDepartment of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ 07764, USACollege of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, ChinaCollege of Economics and Management, Shangqiu Normal University, Shangqiu 476000, ChinaDepartment of Computer Science and Technology, Shandong University of Science and Technology, Qingdao 266590, ChinaCollege of Information and Control Engineering, Liaoning Petrochemical University, Fushun 113001, ChinaIn the context of sustainable development strategies, the recycling of discarded products has become increasingly important with the development of electronic technology. Choosing the human–robot collaborative disassembly mode is the key to optimizing the disassembly process and ensuring maximum efficiency and benefits. To solve the problem of human–robot cooperative parallel dismantling line balance, a mixed integer programming model is established and verified by CPLEX. An improved Moth-Flame Optimization (IMFO) algorithm is proposed to speed up convergence and optimize the disassembly process of various products. The effectiveness of IMFO is evaluated through multiple cases and compared with other heuristics. The results of these comparisons can provide insight into whether IMFO is the most appropriate algorithm for the problem presented.https://www.mdpi.com/2227-7390/12/6/816human–robot collaborative disassemblyparallel disassembly lineimproved moth-flame algorithm |
| spellingShingle | Qi Zhang Bin Xu Man Yao Jiacun Wang Xiwang Guo Shujin Qin Liang Qi Fayang Lu An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem Mathematics human–robot collaborative disassembly parallel disassembly line improved moth-flame algorithm |
| title | An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem |
| title_full | An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem |
| title_fullStr | An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem |
| title_full_unstemmed | An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem |
| title_short | An Improved Moth-Flame Algorithm for Human–Robot Collaborative Parallel Disassembly Line Balancing Problem |
| title_sort | improved moth flame algorithm for human robot collaborative parallel disassembly line balancing problem |
| topic | human–robot collaborative disassembly parallel disassembly line improved moth-flame algorithm |
| url | https://www.mdpi.com/2227-7390/12/6/816 |
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