Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting originating from Beijing, People's R epublic of China, by NewsRx correspondents, research stated, "Robotic assembly l ines are widely applied in the manufacturing sector to produce a wide range of p roducts because of their efficiency and multifunctionality. The robotic assembly line balancing problem (RALBP) is a combinatorial optimization problem where th e decision variables are task assignment and robot allocation." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Ministry of Education, China. Our news editors obtained a quote from the research from the Beijing University of Technology, "However, RALBP considering carbon footprint, which is a very sig nificant environmental concern, has scarcely been studied in the literature and a practical ‘cross-station'design is never mathematically formulated. In this pa per, a mixed -integer programming model is proposed to optimize the two objectiv es according to the Pareto principle. A particle swarm algorithm (PSO) with some improvement rules is designed to solve the problem. To examine the efficiency o f the algorithm, computational experiments including five medium-sized and five large -sized datasets are conducted. The results show that the efficiency of PSO is better than that of four other classic algorithms in terms of three evaluati on metrics."
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