基于全局并行遗传算法的冷连轧机轧制策略优化研究

Study on Rolling Strategy Optimization for Cold Continuous Rolling Mill

并行遗传算法把遗传算法隐含的并行性与计算机的高速并行性结合起来,极大地提高了搜索效率。介绍了全局并行遗传算法在冷连轧机轧制策略优化中的应用。结果表明,该方法能大大改善轧制策略的优化性能指标。

The parallel genetic algorithms(PGA) combine the high-speed parallel-ability of computer with inherent parallel-ability of GA, and improve greatly the efficiency of GA. This paper introduces the master-slave model GA and application of PGA in rolling strategy optimization for cold continuous rolling mill. Test results show that the system can improve the performance and specification of rolling strategy optimization.