In this paper, we consider the single machine scheduling
problem to minimize the total weighted early work. The early work of
a job is a duration of the parts of the job completed prior to its due-date.
First, this paper analyzes the complexity of the total weighted early work
problem with preemptive case, and proposes an Interruption Scheduling Algorithm.
Second, the problem without preemptive case is illustrated to be NP-hard
by designing a quasi-polynomial dynamic programming algorithm, and data
experiments are performed to verify the effectiveness of the algorithm.
LI Ping, ZHANG Xingong, WAN Qing.
Single Machine Scheduling Problem with Minimize Total
Weighted Early Work. Journal of Systems Science and Mathematical Sciences, 2021, 41(4): 1068-1078 https://doi.org/10.12341/jssms20036