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《Journal of University of Science and Technology Beijing》 2002-03
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Immune Genetic Algorithms(IGA)Based Scheduling Optimization for Finisher

WANG Yan, LIU Jinglu, SUN Yikang (Information Engineering School, UST Beijing, Beijing 100083, China) (Information Science and Engineering School, Jinan University, Jinan 250022, China) (Computer Center, Jinan University, Jinan 250022, China)  
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.
【Fund】: 国家自然科学基金资助课题(No.69772012)
【CateGory Index】: TG334.9
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