Name
Title | ||
|---|---|---|
An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem |
Abstract | ||
|---|---|---|
•A mathematical model of a blocking hybrid flow shop scheduling problem with energy consumption criteria is proposed.•A simple global perturbation based on a half-swap operator is proposed to further search for the potentially best solution.•A local perturbation strategy based on a swap operator is designed to ensure the convergence of the algorithm.•The proposed algorithm is applied to 140 test instances with different scales and compared with state-of-the-art algorithms and can obtain the best solution to the BHFSP. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.swevo.2021.100992 | Swarm and Evolutionary Computation |
Keywords | DocType | Volume |
Blocking,Hybrid flow shop scheduling problem,Iterated greedy algorithm,Energy efficiency,Local perturbation | Journal | 69 |
ISSN | Citations | PageRank |
2210-6502 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao-Xiang Qin | 1 | 0 | 0.34 |
| Yu-Yan Han | 2 | 104 | 8.80 |
| Biao Zhang | 3 | 60 | 8.85 |
| Leilei Meng | 4 | 5 | 1.43 |
| Yiping Liu | 5 | 0 | 0.34 |
| Quan-Ke Pan | 6 | 0 | 0.34 |
| Dun-Wei Gong | 7 | 0 | 0.34 |