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Content Provider | IEEE Xplore Digital Library |
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Author | Liu Feng-juan Zhao Jun Wang Wei Zhang Xiao-ping |
Copyright Year | 2010 |
Description | Author affiliation: Research Center of Information and Control, Dalian University of Technology, Liaoning, China (Liu Feng-juan; Zhao Jun; Wang Wei; Zhang Xiao-ping) |
Abstract | To the slab discharge optimization of steel industry, a class of slab discharge decision model is suggested in this paper, considering the minimal amount of shuffled slab and the minimal crane travel. It consists of the slab discharge optimization decision sub-model and the optimal turned-out slab pile one. The slab discharge planning is accomplished by the layered collaborations between two sub-models. A quantum-behaved discrete particle swarm optimization (QDPSO) algorithm is proposed to solve the first sub-model, where Qu-bit encoding method is designed not only for increasing the ability of DPSO, maintaining the population diversity, but also improving the computing speed of the algorithm. The algorithm can quickly converge to the global optimal solution. The simulation with production data shows that the model and algorithm proposed in this paper are feasible. |
Starting Page | 4452 |
Ending Page | 4457 |
File Size | 660542 |
Page Count | 6 |
File Format | |
ISBN | 9781424467129 |
e-ISBN | 9781424467129 |
DOI | 10.1109/WCICA.2010.5554072 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-07-07 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Slabs Discharges Particle swarm optimization Algorithm design and analysis Nickel Data models Computational modeling discrete particle swarm optimization slab yard slab discharge decision quantum behavior |
Content Type | Text |
Resource Type | Article |
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