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Optimizing surface profiles during hot rolling: A genetic algorithms based multi-objective optimization
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DOI：10.1016/j.commatsci.2005.12.031.png)
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摘要
En 中文
Several variants of genetic algorithms have been used to study the surface profiles of hot rolled slabs, quantified in terms of crown, a major parameter related to their geometric tolerances. Two different models are presented, and simulations in a multi-objective mode are carried out to generate the relevant Pareto fronts, which, in turn, are tested against the operational data of an integrated steel plant. (c) 2006 Elsevier B.V. All rights reserved.
Keyword:
rolling
hot rolling
crown
flatness
genetic algorithms
ant colony optimization
differential evolution
generalized differential evolution
non-dominated sorting genetic algorithm
NSGA-II
strength Pareto evolutionary algorithm
multi-objective optimization
pareto front
multi-objective evolutionary computation
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期刊
IF:
3.3
论文数:
1.4W
被引数:
3.6W
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