Name
Title | ||
|---|---|---|
Mixed-integer programming models for optimal constellation scheduling given cloud cover uncertainty. |
Abstract | ||
|---|---|---|
•We propose a simple and improved mixed-integer programming sensor scheduling model.•Stochastic variants proactively schedule against weighted cloud-cover scenarios.•Schedule utility is improved, using commercial solvers, over deterministic models.•Schedules resilient to uncertain weather are produced within operational run times. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ejor.2018.11.043 | European Journal of Operational Research |
Keywords | Field | DocType |
Scheduling,Integer programming,Stochastic programming,Remote sensing,Weather uncertainty | Mathematical optimization,Satellite,Remote sensors,Scheduling (computing),Scheduling heuristics,Integer programming,Schedule,Constellation,Cloud cover,Mathematics | Journal |
Volume | Issue | ISSN |
275 | 2 | 0377-2217 |
Citations | PageRank | References |
1 | 0.36 | 11 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher G. Valicka | 1 | 2 | 2.40 |
| Deanna Garcia | 2 | 1 | 0.36 |
| Andrea Staid | 3 | 4 | 1.13 |
| Jean-Paul Watson | 4 | 604 | 47.20 |
| Gabriel Hackebeil | 5 | 29 | 2.40 |
| Sivakumar Rathinam | 6 | 216 | 23.81 |
| Lewis Ntaimo | 7 | 288 | 22.96 |