Solving hot rolling scheduling problem by a new population-based extremal optimization algorithm-Reference-Cited by-同舟云学术

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Solving hot rolling scheduling problem by a new population-based extremal optimization algorithm

Published:2010-09 Issue: Volume: Page:
ISSN:
Container-title:2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)
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Author:

Sun Kai ,Yang Genke,Pan Changchun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5629467/5645057/05645061.pdf?arnumber=5645061

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hot Rolling Scheduling of Heavy Plate Production Based on Heuristic and Ant Colony Algorithms;2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS);2021-12-10

2. A review of planning and scheduling methods for hot rolling mills in steel production;Computers & Industrial Engineering;2021-01

3. Research and application of multiple constrained hot strip mill scheduling problem based on HPSA;The International Journal of Advanced Manufacturing Technology;2015-05-28

4. The Research and Application on Advanced Hot Rolling Scheduling System;Applied Mechanics and Materials;2015-03

5. Lifecycle-Based Swarm Optimization Method for Numerical Optimization;Discrete Dynamics in Nature and Society;2014

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