A New Intelligent Optimization Method for the Scheduling of Cold Continuous Rolling Mills
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摘要: 提出基于免疫遺傳算法與BP網絡混合模型的冷連軋機組負荷分配的智能優化新方法,該方法具有學習功能強、計算精度高、使用方便等特點,且適合在線計算.實驗證明了該方法的有效性.Abstract: A new method for optimizing the scheduling of cold continuous rolling mills is proposed by means of the Immune Genetic Algorithm and BP networks. The method has many advantages such as stonger learning function, higher computational accuracy, and being convenient for use and suitable for on-line calculation. With a example, the effectiveness of the method is proved.
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