一种适用于热送热装生产计划优化的方法

Optimization Method for Hot Charge Rolling Manufacture Plan

提出了一种将遗传算法用于热送热装生产计划优化的方法.与MTSP方法不同,该方法在优化时不需预先确定轧制单位的数目,它充分利用了轧制单位的结构特点,在对轧制计划优化的同时,优化了轧制单位的数目.仿真结果表明,该方法可在大量的生产合同中很快找出满足各种生产约束条件的热送热装生产计划的可行解,以提高热送热装率.

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.