Particle swarm optimization (PSO) algorithm is widely used in cluster analysis. However, it is
a stochastic technique that is vulnerable to premature convergence to sub-optimal clustering …

Clustering is an ideal tool for working with big data and searching for structures in the data
set. Clustering aims at maximizing the similarity between the data within a cluster and …

The rapid development of information technology and the tremendous changes of
management ideas and management methods promote the continuous updating of …

The problem of joint power and admission control (JPAC) is a critical issue encountered in
underlay cognitive radio networks (CRNs). Moving forward towards the realization of Fifth …

Spectrum sensing is a key function in cognitive radio network (CRN) to avoid harmful
interference with licensed users and identify the free spectrum to improve spectrum …

In this investigation, an optimal design procedure for tubular linear brushless permanent
magnet (PM) machines has been proposed. A two-dimensional analytical magnetic field …

Simple binary coded genetic algorithm (GA) and particle swarm optimization (PSO) fall
easily into local minimums and fail to find the global optimal solution to the algorithm. Thus …

According to the characteristics of NC milling, an approach for optimization of milling
parameters considering high efficiency and low carbon based on gravity search algorithm is …

In this paper, the main aim is to optimize the probability of detection in cognitive radio (CR)
networks by using different variants of particle swarm optimization (PSO). Finding the …