首页|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)
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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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.
WuhanPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRoboticsRobotsWuhan Un iversity of Technology
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