Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization
Tian J, Sun C, Zeng J, Yu H, Tan Y, Jin Y (2017)
In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 1-8.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Tian, Jie;
Sun, Chaoli;
Zeng, Jianchao;
Yu, Haibo;
Tan, Ying;
Jin, YaochuUniBi 
Abstract / Bemerkung
Surrogate-assisted evolutionary algorithms (SAEAs) have received increasing attention in recent years. Kriging is one of the most popular surrogate models due to its ability to provide approximation uncertainty as well as the approximation value without additional computational cost. The kernel function used in the Kriging model plays a very important role in Kriging, as it has considerable influence on the approximation performance of Kriging models. However, little work has been dedicated to the efficiency of training the Kriging model and the influence of the kernel function on the performance of SAEAs. In this paper, we conduct extensive empirical experiments to examine the performance of Kriging-assisted SAEAs on a widely used test suite of benchmark problems of a dimension of 20 or 30 using different kernel functions. Detailed analyses of the training efficiency and the performance of Kriging-assisted SAEAs with different kernel functions are given.
Erscheinungsjahr
2017
Titel des Konferenzbandes
2017 IEEE Symposium Series on Computational Intelligence (SSCI)
Seite(n)
1-8
Konferenz
2017 IEEE Symposium Series on Computational Intelligence (SSCI)
Konferenzort
Honolulu, HI
eISBN
978-1-5386-2726-6
Page URI
https://pub.uni-bielefeld.de/record/2978454
Zitieren
Tian J, Sun C, Zeng J, Yu H, Tan Y, Jin Y. Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization. In: 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE; 2017: 1-8.
Tian, J., Sun, C., Zeng, J., Yu, H., Tan, Y., & Jin, Y. (2017). Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8. IEEE. https://doi.org/10.1109/SSCI.2017.8285281
Tian, Jie, Sun, Chaoli, Zeng, Jianchao, Yu, Haibo, Tan, Ying, and Jin, Yaochu. 2017. “Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization”. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8. IEEE.
Tian, J., Sun, C., Zeng, J., Yu, H., Tan, Y., and Jin, Y. (2017). “Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization” in 2017 IEEE Symposium Series on Computational Intelligence (SSCI) (IEEE), 1-8.
Tian, J., et al., 2017. Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization. In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, pp. 1-8.
J. Tian, et al., “Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization”, 2017 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2017, pp.1-8.
Tian, J., Sun, C., Zeng, J., Yu, H., Tan, Y., Jin, Y.: Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). p. 1-8. IEEE (2017).
Tian, Jie, Sun, Chaoli, Zeng, Jianchao, Yu, Haibo, Tan, Ying, and Jin, Yaochu. “Comparisons of different kernels in Kriging-assisted evolutionary expensive optimization”. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2017. 1-8.
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