Name
Title | ||
|---|---|---|
Automatic detection of the best performing priority rule for the resource-constrained project scheduling problem |
Abstract | ||
|---|---|---|
Priority rules are applied in many commercial software tools for scheduling projects under limited resources because of their known advantages such as the ease of implementation, their intuitive working, and their fast speed. Moreover, while numerous research papers present comparison studies between different priority rules, managers often do not know which rules should be used for their specific project, and therefore have no other choice than selecting a priority rule at random and hope for the best. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2020.114116 | Expert Systems with Applications |
Keywords | DocType | Volume |
Project scheduling,RCPSP,Machine learning,Classification model,Performance prediction | Journal | 167 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weikang Guo | 1 | 0 | 0.34 |
| Mario Vanhoucke | 2 | 0 | 3.72 |
| José Coelho | 3 | 110 | 7.94 |
| Jingyu Luo | 4 | 0 | 0.34 |