Name
Title | ||
|---|---|---|
Surrogate models in evolutionary single-objective optimization: A new taxonomy and experimental study |
Abstract | ||
|---|---|---|
•A review and comparison of surrogate models used in single-objective SAEAs.•Review surrogate models in terms of absolute and relative fitness models.•The construction and prediction time of models, and model’s accuracy are compared.•SAEAs with different surrogate models are compared. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ins.2021.03.002 | Information Sciences |
Keywords | DocType | Volume |
Evolutionary algorithms,Surrogate models,Absolute fitness models,Relative fitness models,Expensive optimization problems | Journal | 562 |
ISSN | Citations | PageRank |
0020-0255 | 3 | 0.39 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tong Hao | 1 | 65 | 4.27 |
| Changwu Huang | 2 | 3 | 0.39 |
| Minku Leandro L. | 3 | 709 | 40.23 |
| Xin Yao | 4 | 14858 | 945.63 |