Optimization Method for Hot Charge Rolling Manufacture Plan
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摘要: 提出了一種將遺傳算法用于熱送熱裝生產計劃優化的方法.與MTSP方法不同,該方法在優化時不需預先確定軋制單位的數目,它充分利用了軋制單位的結構特點,在對軋制計劃優化的同時,優化了軋制單位的數目.仿真結果表明,該方法可在大量的生產合同中很快找出滿足各種生產約束條件的熱送熱裝生產計劃的可行解,以提高熱送熱裝率.Abstract: An optimization method based on genetic algorithms is introduced for HCR (hot charge rolling) manufacture plan. Different from the optimization method based on MTSP, it need not determinate the number of rolling cycles. The makeup characteristic of rolling cycles is applied in this method, and the number of rolling cycles is optimized during the makeup optimization. Simulation results show that this method can find out the feasible HCR manufacture plans quickly.
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Key words:
- HCR /
- manufacture plan /
- optimization method /
- genetic algorithms
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