Optimizing surface profiles during hot rolling: A genetic algorithms based multi-objective optimization

被引:22
作者
Chakraborti, N. [1 ]
Kumar, B. Siva
Babu, V. Satish
Moitra, S.
Mukhopadhyay, A.
机构
[1] Indian Inst Technol, Dept Met & Mat Engn, Kharagpur 721302, W Bengal, India
[2] TATA Steel, Div Res & Dev, Jamshedpur 831001, Bihar, India
关键词
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;
D O I
10.1016/j.commatsci.2005.12.031
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:159 / 165
页数:7
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