An efficient adaptive genetic algorithm for energy saving in the hybrid flow shop scheduling with batch production at last stage
An efficient adaptive genetic algorithm for energy saving in the hybrid flow shop scheduling with batch production at last stage
复制标题
末段批量生产的混合流水车间调度节能高效自适应遗传算法
DOI:
10.1111/exsy.12678
复制
发表时间:
2021-02
期刊:
影响因子:
3.3
通讯作者:
Qiao Fei
中科院分区:
文献类型:
--
作者:
Lu Hong;Qiao Fei
This article deals with energy saving in the hybrid flow shop scheduling problem with batch production at last stage, which has important application in energy‐intensive steelmaking‐continuous casting (SCC) process. We first establish a mixed integer prog
登录
查看更多内容
DOI:
--
发表时间:
2010
期刊:
Journal of systems engineering
影响因子:
--
作者:
Chai Tianyou
通讯作者:
Chai Tianyou
DOI:
10.14569/ijacsa.2011.020104
发表时间:
2011
影响因子:
0.9
作者:
A. Philip;Akinwale Adio Taofiki;O. Kehinde
通讯作者:
A. Philip;Akinwale Adio Taofiki;O. Kehinde
DOI:
10.1109/icnc.2007.202
发表时间:
2007-08
期刊:
Third International Conference on Natural Computation (ICNC 2007)
影响因子:
--
作者:
Y. Xing;Zhentong Chen;Jing Sun;Long Hu
通讯作者:
Y. Xing;Zhentong Chen;Jing Sun;Long Hu
DOI:
10.1016/s0377-2217(02)00265-5
发表时间:
2002-10
期刊:
Eur. J. Oper. Res.
影响因子:
--
作者:
V. T’kindt;N. Monmarché;F. Tercinet;Daniel Laügt
通讯作者:
V. T’kindt;N. Monmarché;F. Tercinet;Daniel Laügt
影响因子:
4.6
作者:
Atighehchian, Arezoo;Bijari, Mehdi;Tarkesh, Hamed
通讯作者:
Tarkesh, Hamed