Name
Abstract | ||
|---|---|---|
This paper presents the results of the second edition of the Wind Farm Layout Optimization Competition, which was held at the 22nd Genetic and Evolutionary Computation COnference (GECCO) in 2015. During this competition, competitors were tasked with optimizing the layouts of five generated wind farms based on a simplified cost of energy evaluation function of the wind farm layouts. Online and offline APIs were implemented in C++, Java, Matlab and Python for this competition to offer a common framework for the competitors. The top four approaches out of eight participating teams are presented in this paper and their results are compared. All of the competitors' algorithms use evolutionary computation.
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Year | Venue | Field |
|---|---|---|
2018 | GECCO (Companion) | MATLAB,Industrial engineering,Computer science,Evaluation function,Evolutionary computation,Online and offline,Artificial intelligence,Java,Python (programming language),Machine learning,Competitor analysis |
DocType | ISBN | Citations |
Conference | 978-1-4503-5764-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 16 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dennis Wilson | 1 | 10 | 4.82 |
| Sílvio F. Rodrigues | 2 | 13 | 3.76 |
| Carlos Segura | 3 | 50 | 6.53 |
| Ilya Loshchilov | 4 | 8 | 0.77 |
| Frank Hutter | 5 | 2610 | 127.14 |
| Guillermo López Buenfil | 6 | 0 | 0.34 |
| Ahmed Kheiri | 7 | 85 | 9.29 |
| Ed Keedwell | 8 | 112 | 14.28 |
| Mario Ocampo-Pineda | 9 | 0 | 0.34 |
| Ender Özcan | 10 | 0 | 1.01 |
| Sergio Iwan Valdez Pea | 11 | 0 | 0.34 |
| Brian W. Goldman | 12 | 185 | 11.62 |
| Salvador Botello Rionda | 13 | 31 | 7.91 |
| Arturo Hernández Aguirre | 14 | 405 | 58.10 |
| Kalyan Veeramachaneni | 15 | 716 | 61.50 |
| Ilya Loshchilov | 16 | 216 | 11.65 |