Danyang Xu

TL;DR: In this paper, the authors used Chinese-developed data based on long-standing influenza indices, and the more recently developed coronavirus and face mask indices, to test for the presence of volatility spillovers from Chinese financial markets upon a broad number of traditional financial assets during the outbreak of the COVID-19 pandemic.

TL;DR: In this paper , a dual-stream structure network is established to extract features from the original and auxiliary data simultaneously to make a comprehensive reflection of health states, and the multilayer perceptron is adopted to fuse the obtained features and estimate RUL.

TL;DR: In this paper, the authors used Chinese-developed data based on long-standing influenza indices and the more recently developed coronavirus and face-mask indices to test for the presence of volatility spillovers from Chinese financial markets during the outbreak of the COVID-19 pandemic upon a broad number of traditional financial assets.

TL;DR: In this article , a general framework of surrogate-assisted evolutionary algorithms (GF-SAEAs) is proposed to adaptively arrange search strategies based on actual simulation cost differences, and a level-by-level feasible region-driven local search strategy is designed to locate potential sub-feasible regions for each constraint level.

TL;DR: In this article , a surrogate-assisted differential evolution for solving ECOPs involving mixed-integer variables (SADE-MI) is proposed, where the mutation strategy DE/best/2 is used to balance the local and global characteristics of the candidate solutions.