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This dataset completes the report of the same author (Olivier Brunner) that can be viewed at : https://doi.org/10.5281/zenodo.15696776 It is composed of three consistant CSV files - i.e. with the same columns. The report abstract is : This report presents some solutions that, as of the date of publication, improve the cost (makespan) for some instances of the Permutation Flow-Shop Problem (PFSP) proposed by Eric Taillard or by Eva Vallada, Rubén Ruiz, and Jose M. Framinan. This report may help those who assess the quality of heuristics based on their ability to approach the best-known solutions. The same versioning is used for the report and for the dataset. The dataset was created and starts at version 5 of the report. This dataset reflects an ongoing work. Further updates will be posted until every open instance has been tested. This dataset is based on the best known solutions sumerized and uploaded by Jan Gmys in feb, 2021. It can be viewed at : https://doi.org/10.5281/zenodo.4542886
Flow-Shop, Permutation Flowshop, Flow shop, Permutation Flow-Shop, Permutation flow shop, Flowshop
Flow-Shop, Permutation Flowshop, Flow shop, Permutation Flow-Shop, Permutation flow shop, Flowshop
citations 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 |