Optimization of Tandem Cold Rolling Schedule Based on Collaborative Optimized PSO
作者： Li Ying , Wang Jing-sheng , Wang Hong-rui , Wei Li-xin
DOI: 10.1007/978-3-642-34038-3_55
关键词: Sequence 、 Simulation 、 Premature convergence 、 Function (mathematics) 、 Tree traversal 、 Computer science 、 Mathematical optimization 、 Production efficiency 、 Particle swarm optimization 、 Tandem 、 Schedule
摘要: The reasonable rolling schedule is not only beneficial to improve the accuracy and achieve good shape of cold rolled steel strip, but also has practical value in prolonging service life equipment improving production efficiency enterprise. It tends reach premature convergence when particle swarm optimization algorithm applied schedule. Based on rapid evenly traversal Tent sequence, a collaborative which combines with chaos searching introduced this paper. proposed can overcome disadvantage that easily falls into local minimum, find pressure rate satisfying preset target function using less iteration times optimal time, realize target.
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