Optimization Method for Hot Charge Rolling Manufacture Plan
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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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