Name
Title | ||
|---|---|---|
A decomposition-based kernel of Mallows models algorithm for bi- and tri-objective permutation flowshop scheduling problem. |
Abstract | ||
|---|---|---|
•The decomposition-based kernel of Mallows models algorithm is applied to the bi- and tri-objective permutation flowshop scheduling problem.•The distance metrics Cayley, Ulam, and Kendall's are investigated under the Mallows probabilistic model.•The decomposition-based kernel of Mallows models algorithm outperforms some state-of-the art approaches, and most of the best-known results for the benchmark considered. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2018.07.011 | Applied Soft Computing |
Keywords | Field | DocType |
Flowshop scheduling,Multi-objective optimization,Decomposition approach,Mallows model | Mathematical optimization,Tardiness,Job shop scheduling,Evolutionary algorithm,Scheduling (computing),Permutation,Algorithm,Combinatorial optimization,Scheduling (production processes),Optimization problem,Mathematics | Journal |
Volume | ISSN | Citations |
71 | 1568-4946 | 1 |
PageRank | References | Authors |
0.35 | 38 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Murilo Zangari | 1 | 17 | 2.25 |
| Ademir Aparecido Constantino | 2 | 15 | 5.76 |
| Josu Ceberio | 3 | 169 | 15.71 |