首页|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)
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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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.”
ChengduPeople’s Republic of ChinaAsi aAlgorithmsEmerging TechnologiesEvolutionary AlgorithmMachine LearningMathematicsNano-robotRobotRoboticsSouthwest Jiaotong University
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