A new improved Genetic Algorithms (ANGA) of load distribution for finishing stands of HSM based on experiential load distribution as to the use and rationality of traditional load distribution methods.

• 基于传统负荷分配方法的实用性、合理性,以经验负荷分配为基础,利用改进的遗传算法(ANGA)对负荷分配进行优化。 并进行了仿真实验,将由ANGA优化的负荷分配结果与经验负荷分配结果进行了比较。