Immune Genetic Algorithms(IGA) Based Scheduling Optimization for Finisher

WANG Yan; LIU Jinglu; SUN Yikang

doi:10.13374/j.issn1001-053x.2002.03.071

Volume 24 Issue 3

Aug. 2021

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WANG Yan, LIU Jinglu, SUN Yikang. Immune Genetic Algorithms(IGA) Based Scheduling Optimization for Finisher[J]. Chinese Journal of Engineering, 2002, 24(3): 339-341. doi: 10.13374/j.issn1001-053x.2002.03.071

Citation:

WANG Yan, LIU Jinglu, SUN Yikang. Immune Genetic Algorithms(IGA) Based Scheduling Optimization for Finisher[J]. Chinese Journal of Engineering, 2002, 24(3): 339-341. doi: 10.13374/j.issn1001-053x.2002.03.071

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Immune Genetic Algorithms(IGA) Based Scheduling Optimization for Finisher

doi: 10.13374/j.issn1001-053x.2002.03.071

1. Information Engineering School, UST Beijing, Beijing 100083, China;
2. Information Science and Engineering School, Jinan University, Jinan 250022, China;
3. Computer Center, Jinan University, Jinan 250022, China

Received Date: 2001-12-20
Available Online: 2021-08-21

Abstract

Abstract

A new way was presented to optimize the scheduling of finisher of hot continuous rolling mills by means of Immune Genetic Algorithm. The method has advantages such as fast searching speed, high com-puting precision, suiting to on-line calculation. Test results show that the new method is valid. This method also provides another way for optimal design of the schedule of finisher of hot continuous mills.
- finisher,
- scheduling,
- immune genetic algorithin（IGA）,
- optimization