摘要
考虑一类分段恶化单机问题,得到了最优解的性质,根据这些性质设计了一种求近似最优解的遗传算法。通过分支定界法对小规模算例的验证表明,本遗传算法获得精确解的比例是高的,由此认为所给遗传算法是很有效的。
In this paper, a kind of step-deteriorating single machine scheduling problem is considered. The properties of its optimal solution are discussed and a kind of GA implement is accordingly made. The proposed GA algorithm is verified effective by comparing with the Branch and Bound method on small sized numerical experiments.
出处
《苏州市职业大学学报》
2007年第2期86-88,共3页
Journal of Suzhou Vocational University
关键词
排序
开工时间
分段恶化
遗传算法
分支定界法
scheduling
starting time
step-deterioration
GA
Branch and Bound method