Robotics & Machine Learning Daily News2024,Issue(MAY.31) :66-67.

Study Data from Wuhan University of Technology Update Understanding of Robotics (Multi-objective Simulated Annealing Algorithm for Robotic Mixed-model Two-sided Assembly Line Balancing With Setup Times and Multiple Constraints)

Robotics & Machine Learning Daily News2024,Issue(MAY.31) :66-67.

Study Data from Wuhan University of Technology Update Understanding of Robotics (Multi-objective Simulated Annealing Algorithm for Robotic Mixed-model Two-sided Assembly Line Balancing With Setup Times and Multiple Constraints)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in Robotics. Accordin g to news reporting originating in Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Robotic mixed-model two-sided assembly lines (RMT ALs) have become increasingly prevalent in manufacturing industries for producti vity enhancement. However, only limited attention has been paid to the RMTAL bal ancing problems that contain both setup times and multiple constraints such as p ositional constraints, zoning constraints, and synchronism constraints.” Financial support for this research came from Hubei Science and Technology Major Projects, PR China.

Key words

Wuhan/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Robotics/Robots/Wuhan Un iversity of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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