Reconfigurable manufacturing system is widely regarded as a major drive towards the next-
generation manufacturing, where one of the most common scenarios is that advanced …

This work addresses multiple unmanned surface vessel (USV) scheduling problems with
minimizing maximum completion time. First, a mathematical model is developed with …

Remanufacturing end-of-life (EOL) products is an important approach to yield great
economic and environmental benefits. A remanufacturing process usually contains three …

As an emerging computing model close to the end-user, fog computing can move tasks from
the cloud to the fog device to process, and make up for the lack of cloud computing in terms …

The flexible job shop scheduling problems (FJSP) has been studied for many years, and
many different mathematical models and solution approaches have been developed. With …

Dynamic flexible job-shop scheduling is traditionally a challenge in real-world
manufacturing systems, especially considering the constraints of transportation resources …

The performance of differential evolution (DE) algorithm significantly depends on mutation
strategy. However, there are six commonly used mutation strategies in DE. It is difficult to …

Evolutionary computation (EC) is a kind of meta-heuristic algorithm that takes inspiration
from natural evolution and swarm intelligence behaviors. In the EC algorithm, there is a …

This paper presents an enhanced multi-objective grey wolf optimizer (EMOGWO) for multi-
objective service composition and optimal selection (MO-SCOS) problem in cloud …

Feature selection (FS) in data with class imbalance or missing values has received much
attention from researchers due to their universality in real-world applications. However, for …