Explainable artificial intelligence (XAI) has received great interest in the recent decade, due
to its importance in critical application domains, such as self-driving cars, law, and …

Over recent years, there has been a rapid development of deep learning (DL) in both
industry and academia fields. However, finding the optimal hyperparameters of a DL model …

Job shop scheduling (JSS) is a process of optimizing the use of limited resources to improve
the production efficiency. JSS has a wide range of applications, such as order picking in the …

Dynamic flexible job-shop scheduling (DFJSS) is a challenging combinational optimization
problem that takes the dynamic environment into account. Genetic programming …

Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …

Manufacturing industry is experiencing a revolution in the creation and utilization of data, the
abundance of industrial data creates a need for data-driven techniques to implement real …

Abstract Recent advancements in Information Technology (IT) have engendered the rapid
production of big data, as enormous volumes of data with high dimensional features grow …

This paper focuses on the production scheduling problem of flexible job shops. In the
production process of flexible job shop, there are dynamic events such as machine …

Feature extraction is an essential process in the intelligent fault diagnosis of rotating
machinery. Although existing feature extraction methods can obtain representative features …

Dynamic flexible job shop scheduling (JSS) has received widespread attention from
academia and industry due to its practical application value. It requires complex routing and …