Since Grey Wolf Optimizer (GWO) first introduction, it continues to be used extensively today,
owing to its simplicity, easy handling, and applicability to a wide range of problems …

Due to the complexity of the aging process, maintaining the state of health (SOH) of lithium-
ion batteries is a significant challenge that must be overcome. This study presents a new …

Dual-ball-screw feed drive systems (DBSFDSs) are designed for most high-end
manufacturing equipment. However, the mismatch between the dynamic characteristic …

The IoT devices vary in terms of processing power, storage capacity, memory, and energy
capabilities. These device heterogeneities pose unique challenges for efficient data …

在产品生产过程中, 准确快地预测产品质量有助于企业及时调整制造工艺, 降低损失.
针对实际生产过程中, 现场采集的工艺数据存在维度高, 相关性复杂且用传统方法难以准确预测 …

Due to the growing interest in green logistics and the challenge of just-in-time part logistics,
as well as considering the current popularity of supply hub, this paper focuses on a supply …

Grey wolf optimization algorithm (GWO) has achieved great results in the optimization of
neural network parameters. However, it has some problems such as insufficient precision …

In the process of product production, accurate and fast prediction of product quality helps
enterprises to adjust the manufacturing process in time and reduce losses. Aiming at the …