Name
Abstract | ||
|---|---|---|
In order to take full advantage of resources for navigation and reduce risks, this paper proposes a novel method of fleet deployment based on route risk evaluation. Dempster-Shafer(D-S) evidence theory is applied in order to construct the route risk evaluation model, considering the main environmental factors affecting navigational safety. A novel optimization model of fleet deployment is thus established and the firefly algorithm used to solve the problem. The experimental results show the effectiveness and practicality of the new model and algorithm. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.ins.2016.08.065 | Information Sciences |
Keywords | Field | DocType |
Ocean environment,Route risk evaluation,Fleet deployment,Firefly algorithm | Risk evaluation,Software deployment,Simulation,Ocean environment,Operations research,Firefly algorithm,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
372 | C | 0020-0255 |
Citations | PageRank | References |
1 | 0.35 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxin Zhao | 1 | 255 | 35.38 |
| Renfeng Jia | 2 | 5 | 0.78 |
| Na Jin | 3 | 1 | 0.69 |
| Yongxu He | 4 | 7 | 1.13 |