%0 Journal Article %1 journals/jgo/YangQGJZ19 %A Yang, Zan %A Qiu, Haobo %A Gao, Liang %A Jiang, Chen %A Zhang, Jinhao %D 2019 %J J. Glob. Optim. %K dblp %N 2 %P 327-359 %T Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems. %U http://dblp.uni-trier.de/db/journals/jgo/jgo74.html#YangQGJZ19 %V 74

@article{journals/jgo/YangQGJZ19, added-at = {2020-10-26T00:00:00.000+0100}, author = {Yang, Zan and Qiu, Haobo and Gao, Liang and Jiang, Chen and Zhang, Jinhao}, biburl = {https://www.bibsonomy.org/bibtex/255ef362028b2e9344261e24846cf874d/dblp}, ee = {https://doi.org/10.1007/s10898-019-00759-0}, interhash = {11a37363259323a4a82a9d5cfac5b977}, intrahash = {55ef362028b2e9344261e24846cf874d}, journal = {J. Glob. Optim.}, keywords = {dblp}, number = 2, pages = {327-359}, timestamp = {2020-10-27T12:32:18.000+0100}, title = {Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems.}, url = {http://dblp.uni-trier.de/db/journals/jgo/jgo74.html#YangQGJZ19}, volume = 74, year = 2019 }