Fault impulses induced by localized failure is critical for fault diagnosis and degradation
prognostics of rotating machinery, however, weak transient fault impulses are always …

In recent years, an increasing number of prediction-based strategies have shown promising
results in handling dynamic multi-objective optimization problems (DMOPs), and prediction …

As the need for renewable energy continues to grow, there is an increasing requirement to
utilize systems that offer enhanced performance and efficiency. Consequently, a …

Abstract 3D printing is a popular technology for fabricating three-dimensional objects, and it
is crucial to select appropriate printing parameters to enhance production quality, reduce …

This research investigates the effect of process parameters on the mechanical integrity of 3D-
printed Polylactic Acid (PLA+) lattice structures, with a focus on diamond lattice …

In recent years, global trade volume has been increasing, and marine transportation plays a
significant role here. In marine transportation, the choice of transportation route has been …

This article considered the redundancy allocation problem (RAP) in repairable
heterogeneous systems composed of k-out-of-n: G subsystems with a limited number of …

Abstract The Artificial Rabbit Optimization (ARO) algorithm has been proposed as an
effective metaheuristic optimization approach in recent years. However, the ARO algorithm …

The dynamic multi-objective optimization evolutionary algorithm (DMOEA) has garnered
widespread attention due to its superiority in solving dynamic multi-objective optimization …

Particle swarm optimization (PSO) is a meta-heuristic algorithm that can be used to solve
different real-world optimization problems. However, PSO suffers from some intrinsic …