In a dual transaction at a marine terminal, an external truck drops off one container and picks
up another on a single trip. To ensure a successful dual transaction operation and smooth …

Identifying the key quality characteristics (KQCs)(including part and process parameters) in
production processes is essential for quality control. In this paper, we propose a data-driven …

Feature selection (FS) is increasingly important in classification tasks. Although
metaheuristic algorithms have been extensively utilized for FS problems, they share the …

In most data analytic applications in manufacturing, understanding the data‐driven models
plays a crucial role in complementing the engineering knowledge about the production …

In this work, we intend to propose multiple hybrid algorithms with the idea of giving a choice
to the particles of a swarm to update their position for the next generation. To implement this …

Reliability-oriented product quality improvement is of great significance to assurance the
fitness of quality control and management activities in the manufacturing process. A novel …

In a world where the volume of data is constantly increasing, the implementation time of
various processes increases significantly. Therefore, the proper management and the effort …

Feature selection is a frequent task in machine learning problems. Typically, many features
are available, but only a subset is relevant, while others can be redundant or even …

Multiobjective optimization has a wide range of applications in science and engineering.
Various multiobjective optimization algorithms work fine for bi-objective problems with few …