Xu-Chu Jiang

TL;DR: This paper introduces this issue into the hybrid flowshop scheduling problem with consistent sublots (HFSP_CS) and develops a collaborative variable neighborhood descent algorithm (CVND), which shows the most suitable performance in terms of the objective values and algorithm efficiency.

TL;DR: In this article , a multi-objective hybrid flow shop rescheduling problem with consistent sublots (MOHFRP_CS) is investigated, which aims at optimising the total completion time, starting time deviations of operations, and average adjustment of sublot sizes simultaneously.

TL;DR: In this article , a prediction method based on the KNN-Prophet-LSTM hybrid model is established by using the daily pollutant concentration data of Wuhan from January 1, 2014, to May 3, 2021, and considering the characteristics of time and space.

TL;DR: InspInspired by a real-world cellular manufacturing system for processing printed circuit boards (PCBs), the authors addressed a reconfigurable distributed flowshop scheduling problem (RDFGSP), where the flowline is considered as a cell and a complete process includes two flows through the flowlines.

TL;DR: Wang et al. as mentioned in this paper proposed the SMOTE-RFE-XGBoost model, which takes the physical angle of human bone as the research index for feature selection and classification model construction to predict spinal diseases.