摘要
本文研究单台无界平行批处理机上带有可变前瞻区间的在线排序问题。工件按时在线到达,目标是最小化时间表长。在时刻t,在线算法能够预见到(t,t+Δ(t)]内到达工件的信息,这里前瞻区间的长度△(t)=βp;(t)并非定长,其中p;(t)表示在t时刻及之前到达工件的最大加工时长,β∈(0,1)是常数。本文对于工件加工时长的一般情形,给出了当0 <β≤1/6时最好可能的在线算法;对于工件加工时长被限制在一个区间的情形,给出了当0 <β<1时最好可能的在线算法。
This paper investigates the online scheduling on an unbounded parallelbatch machine with variable lookahead interval to minimize makespan.Online means that jobs arrive over time.At any time t,an online algorithm can foresee the information of the jobs arriving in(t,t+Δ(t)],where Δ(t)=βp;(t) is the length of the lookahead interval which is not invariable,p;(t) is the maximum processing time of the jobs arriving at or before t and β∈(0,1) is a constant.On the general case of processing time,we give an online algorithm which is the best possible for 0 <β≤1/6.When the processing times of all jobs are restricted in an interval,we give the best possible online algorithm for 0 <β<1.
作者
王利博
李文华
余丹
WANG Libo;LI Wenhua;YU Dan(School of Mathematics and Statistics,Zhengzhou University,Zhengzhou 450001,Henan,China)
出处
《运筹学学报》
CSCD
北大核心
2022年第1期134-140,共7页
Operations Research Transactions
基金
国家自然科学基金(Nos.11971443,11771406)。
关键词
分批排序
在线算法
前瞻区间
时间表长
竞争比
batch scheduling
online algorithm
lookahead interval
makespan
competitive ratio