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
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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
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发表时间:
2021-02
期刊:
影响因子:
3.3
通讯作者:
Qiao Fei
Qiao Fei
中科院分区:
计算机科学4区
文献类型:
--
作者:
Lu Hong;Qiao Fei

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本文研究了最后阶段批量生产的混合流水车间调度问题的节能问题,该问题在能源密集型炼钢-连铸(SCC)过程中有重要应用。首先建立一个混合整数规划模型,
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
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