Solving batch production scheduling using genetic algorithm

被引：0
|
作者：
Wu, LY [1 ]
Hu, YD [1 ]
Xu, DM [1 ]
Hua, B [1 ]
机构：
[1] Ocean Univ China, Coll Chem & Chem Engn, Qingdao 266003, Peoples R China
来源：
PROCESS SYSTEMS ENGINEERING 2003, PTS A AND B | 2003年 / 15卷
关键词：
production scheduling; batch process; combinatorial optimization; genetic algorithm;
D O I：
暂无
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
The optimal scheduling of multi-product batch process is studied. The relationship between production scale and production cost is analyzed. A new mathematics model is proposed which takes the maximum profit as objective function, which can be solved by the modified genetic algorithm (GA) with mixed coding (sequence coding and decimal coding) developed by us. The PMX crossover and reverse mutation are used for the sequence coding. At the same time, the arithmetic crossover and heteropic mutation are used for the decimal coding. An example is solved to demonstrate the effectiveness of the method.
引用
收藏
页码：648 / 653
页数：6
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