计算机科学 ›› 2018, Vol. 45 ›› Issue (7): 214-218.doi: 10.11896/j.issn.1002-137X.2018.07.037
李荣雨,张卫杰,周志勇
LI Rong-yu ,ZHANG Wei-jie ,ZHOU Zhi-yong
摘要: 针对带钢热连轧精轧机组中负荷分配的优化问题,提出一种基于经验的自适应双层粒子群优化算法(ADLPSO-EM)。每次种群迭代后,对记忆群体通过改进的更新公式进行更新。利用改进的自适应调整惯性权重的策略充分增强种群的多样性,提高全局搜索能力。最后,在将其应用于热连轧负荷分配问题时,通过以经验法得到的值产生一个搜索邻域,并通过变邻域求出最后的负荷分配。仿真结果表明,改进的算法对负荷分配优化具有明显的效果。
中图分类号:
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