Name
Abstract | ||
|---|---|---|
A heuristic framework for turbine layout optimization in a wind farm is proposed that combines ad-hoc heuristics and mixed-integer linear programming. In our framework, large-scale mixed-integer programming models are used to iteratively refine the current best solution according to the recently-proposed proximity search paradigm. Computational results on very large scale instances involving up to 20,000 potential turbine sites prove the practical viability of the overall approach. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s10732-015-9283-4 | J. Heuristics |
Keywords | Field | DocType |
Wind farm optimization,Heuristics,Mixed integer linear programming | Mathematical optimization,Heuristic,Programming paradigm,Heuristics,Integer programming,Linear programming,Proximity search,Artificial intelligence,Turbine,Mathematics,Wind power,Machine learning | Journal |
Volume | Issue | ISSN |
22 | 4 | 1381-1231 |
Citations | PageRank | References |
7 | 0.68 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| martina fischetti | 1 | 13 | 3.74 |
| Michele Monaci | 2 | 1049 | 60.78 |