Name
Title | ||
|---|---|---|
The Effect of Multi-Additional Sampling for Multi-Fidelity Efficient Global Optimization. |
Abstract | ||
|---|---|---|
Powerful computer-aided design tools are presently vital for engineering product development. Efficient global optimization (EGO) is one of the most popular methods for design of a high computational cost problem. The original EGO is proposed for only one additional sample point. In this work, parallel computing is applied to the original EGO process via a multi-additional sampling technique. The weak point of the multi-additional sampling is it has slower convergence rate when compared with the original EGO. This paper applies the multi-fidelity technique to the multi-additional EGO process to see the effect of the number of multi-additional sampling points and the converge rate. A co-kriging method and a hybrid RBF/Kriging surrogate model are selected for the surrogate model in the EGO process to show the advantage of the multi-additional EGO process compared with the single-fidelity Kriging surrogate model. In the experiment, single-additional sampling points and two to four number of multi-additional sampling per iteration are tested with symmetry and asymmetry mathematical test functions. The results show the hybrid RBF/Kriging surrogate model can obtain the similar optimal points when using the multi-additional sampling EGO. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/sym12091499 | SYMMETRY-BASEL |
Keywords | DocType | Volume |
efficient global optimization,surrogate model,multi-fidelity optimization | Journal | 12 |
Issue | Citations | PageRank |
9 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Atthaphon Ariyarit | 1 | 0 | 0.34 |
| Tharathep Phiboon | 2 | 0 | 0.34 |
| Masahiro Kanazaki | 3 | 0 | 3.38 |
| Sujin Bureerat | 4 | 64 | 11.36 |