In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Abstract: With the increase of the number of features and the sample size, existing feature selection (FS) methods based on evolutionary optimization still face challenges such as the “curse of ...

pyswarm is a gradient-free, evolutionary optimization library for Python that implements Particle Swarm Optimization (PSO) with built-in support for constraints. It is lightweight, easy to use, and ...

Abstract: Image registration is an important preprocessing step for many remote sensing image processing applications, and its result will affect the performance of the follow-up procedures.

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research. This article ...

Bearings are the most basic and important mechanical parts. The stable and safe operation of the equipment requires bearing fault diagnosis in advance. So, bearing fault diagnosis is an important ...

Particle Swarm Optimization (PSO) is a metaheuristic algorithm used for optimising nonlinear continuous functions. PSO is inspired by the social behaviour of animal groups, showcasing knowledge ...

The High Precision Particle Swarm Optimization (HiPPSO) is an implementation of the particle swarm optimization (PSO) with highly precise data types. PSO is a popular nature inspired meta heuristic ...