Abstract: This paper presents a new variant of the state-of-the-art PSO (particle swarm optimisation) variant HIDMS-PSO (heterogeneous improved dynamic multiswarm PSO) algorithm. The proposed variant ...

PSO with Ring Topology; PSO with Spatial Neighborhood; PSO with Star Topology; PSO with Selection Mechanism; The research includes six different groups of acceleration coefficients, with special ...

In a recent article published in the journal Scientific Reports, researchers from China introduced an enhanced particle swarm optimization (PSO) algorithm named new dynamic weighted PSO (NDWPSO) for ...

The PSO algorithm firstly initializes a set of particles without mass randomly in the search space, ... high optimization accuracy, and fast convergence speed. The structure of the PI control system ...

One of the most important parameters in PSO algorithm is inertia weight. It gives the balance between exploration and exploitation. Exploration is searching for new solutions in the unknown areas ...

Neural network itself makes the % initial structure or body of the system but PSO has duty of weighting the % neurons in training, which true power of evolutionary algorithms present % here. Finally, ...

2.3 PSO-RF algorithm. Li (Li et al., 2018) considered the influence of the number of trees and the number of random features to split when using the RF algorithm to predict battery capacity.The ...

This paper presents a new variant of the state-of-the-art PSO (particle swarm optimisation) variant HIDMS-PSO (heterogeneous improved dynamic multiswarm PSO) algorithm. The proposed variant improves ...