Name
Title | ||
|---|---|---|
Multi-objective energy-aware batch scheduling using ant colony optimization algorithm. |
Abstract | ||
|---|---|---|
•This paper investigates a novel bi-objective BSP on BPMs with different power.•Employing problem-specific knowledge, a bi-objective ACO is developed.•Experimental results exhibit superiority of BOACO and are statistically verified.•Simulations demonstrate the tradeoff between makespan and energy consumption. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cie.2019.03.033 | Computers & Industrial Engineering |
Keywords | Field | DocType |
Ant colony optimization,Batch scheduling,Multi-objective optimization,Makespan,Energy consumption | Ant colony optimization algorithms,Mathematical optimization,Job shop scheduling,Discrete optimization,Scheduling (computing),Algorithm,Job scheduler,Batch processing,Engineering,Local search (optimization),Ant colony | Journal |
Volume | ISSN | Citations |
131 | 0360-8352 | 1 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhao-Hong Jia | 1 | 57 | 6.70 |
| Yan Wang | 2 | 1 | 0.34 |
| Chao Wu | 3 | 15 | 8.86 |
| Yun Yang | 4 | 76 | 9.80 |
| Xingyi Zhang | 5 | 1019 | 48.58 |
| Huaping Chen | 6 | 33 | 5.54 |