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The following dataset contains randomly generated problem instances for the related machine scheduling problem with job's release dates and due dates. There are 4 instance classes each of which contains 10 random instances (i.e., 10 text files) with n=120 jobs and m=26 machines. The instance classes differ one from another in the expected relative width of job's time windows. The text file structure is as follows: n=<number of jobs>; m=<number of machines>; p_{ij}= <n*m matrix: each entry in j-th column and i-th row corresponds to the processing time of job j on machine i>; r_j= <vector with n elements: the j-th element corresponds to the release date of job j>; d_j= <vector with n elements: the j-th element corresponds to the due date of job j>; The jobs are sorted by release date in ascending order.
Machine scheduling; Related parallel machines; Time windows
Machine scheduling; Related parallel machines; Time windows
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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