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The confidence bound (CB) is one of the most popular acquisition functions for Bayesian optimization (BO). It realizes the balance between local exploitation and global exploration through an explicit trade-off coefficient. In practice, researchers tend to employ fixed or random trade-offs for CB, which however is inflexible in tackling challenging optimization scenarios. Therefore, this article presents an adaptive CB acquisition function, called ACB, to address the issue. Specifically, this article uses Lipschitz conditions to identify a set of potentially optimal trade-off coefficients dynamically by the estimated prediction mean and the leave-one-out cross-validation variance. Thereby, the proposed ACB achieves adaptive trade-off between exploitation and exploration by cycling through the set of dynamically updated coefficients. This article verifies the superiority of the proposed ACB by comparing it against current CB-based BOs using different trade-off strategies on nine numerical examples and the design optimization of a supercritical carbon dioxide centrifugal compressor. [ABSTRACT FROM AUTHOR]

In our previous work, we reported comparative genomics studies on 3Sinocyclocheilusfishes, including the surface-dwellingS. graham(Sg), the semi-cave-dewllingS. rhinocerous(Sr) and the cave-restrictedS. anshuiensis(Sa). Here, we performed a genomic survey on the immunity differences among the 3 fishes by combination of the genome and transcriptome data. Our results demonstrate that immune-related genetic pathways in Sa and Sr present more similarities than Sg. The innate immune activity in Sa seems to be higher than Sg and Sr, while Sr owns more copy numbers of MHC-related genes (related with the acquired immune system) than Sg and Sa. These differential immune activities in the 3Sinocyclocheilusspecies may be due to their differential habitats. Generally speaking, most immunity genes transcribe the lowest levels in Sa when compared with Sg and Sr, which may be associate with a less various microbial environment in the cave-restricted habitat. However, Sr has more members of MHC-related genes than those in Sg and Sa, suggesting a great contribution from the semi-cave-dwelling condition. [ABSTRACT FROM PUBLISHER]