A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …

This paper reviews the current research status of rolling bearing fault diagnosis technology
for railway vehicles. Several domains are covered, including vibration fault diagnosis …

Artificial hummingbird algorithm (AHA) is a recently developed bio-based metaheuristic and
it shows superior performance in handling single-objective optimization problems. Despite …

Gini index (GI) is an outstanding sparsity index that has high robustness for the interference
of the random impulse noise. Yet, as a new index, the definition of GI in different domains is …

This study presents a new nature-inspired optimization algorithm, namely the Mantis Search
Algorithm (MSA), inspired by the unique hunting behavior and sexual cannibalism of praying …

An original math-inspired meta-heuristic algorithm, named quadratic interpolation
optimization (QIO), is proposed to address numerical optimization and engineering issues …

An original swarm-based, bio-inspired metaheuristic algorithm, named electric eel foraging
optimization (EEFO) is developed and tested in this work. EEFO draws inspiration from the …

To maintain desirable service quality and operational safety, a wireless monitoring unit
integrated with the vibration energy harvesting technology becomes an available choice to …

One metaheuristic algorithm recently introduced is atom search optimization (ASO), inspired
by the physical movement of atoms based on the molecular dynamics in nature. ASO …

The transient impulses are one of the most important features for the defective bearing
diagnosis. Many methods like the envelope analysis are created to analyze the fault …