Robotics & Machine Learning Daily News2024,Issue(Mar.19) :27-28.DOI:10.1109/TSMC.2023.3323504

Studies from Southwest Jiaotong University Update Current Data on Robotics (Mult i-man-robot Disassembly Line Balancing Optimization By Mixed-integer Programming and Problem-oriented Group Evolutionary Algorithm)

Robotics & Machine Learning Daily News2024,Issue(Mar.19) :27-28.DOI:10.1109/TSMC.2023.3323504

Studies from Southwest Jiaotong University Update Current Data on Robotics (Mult i-man-robot Disassembly Line Balancing Optimization By Mixed-integer Programming and Problem-oriented Group Evolutionary Algorithm)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Robotics are presented in a new rep ort. According to news reporting out of Chengdu, People’s Republic of China, by NewsRx editors, research stated, “Disassembly production lines that employ share d stations with multiple workers and robots are ideal for addressing obsolete pr oducts with complex structures and hazardous parts. In this study, a multiproduc t multi-man-robot disassembly line balancing problem (MPMMR-DLBP) is developed a nd its mixed-integer programming model (MIPM) is established to minimize the num ber of stations, idle balancing index of operators (workers and robots), and the number of operators.”

Key words

Chengdu/People’s Republic of China/Asi a/Algorithms/Emerging Technologies/Evolutionary Algorithm/Machine Learning/Mathematics/Nano-robot/Robot/Robotics/Southwest Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量44
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