MPSO: Median-oriented Particle Swarm Optimization

New data-hiding algorithm based on adaptive neural networks with modified particle swarm optimization

“…The comparisons between of the proposed MPSO algorithm and eight PSO algorithms are implemented using the generalized Rastrigin's benchmark function (a multimodal function). The previous eight algorithms include the standard particle swarm optimization (SPSO), quadratic interpolation PSO (QIPSO), unified PSO (UPSO), fully informed particle swarm (FIPS), dynamic multi-swarm PSO (DMSPSO), comprehensive learning PSO (CLPSO), adaptive fuzzy PSO (AFPSO), and adaptive fuzzy PSO with quadratic interpolation (AFPSO-QI) (see Juang, Yau-Tarng, Tung et al, 2011 andBeheshti, Z., Shamsuddin, S., Hasan, S., 2013 ). Figure 10 shows the number of iterations vs the function value for the proposed and MPSO algorithm and two other algorithms (AFPSO-QI and AFPSO).…”

Non-parametric particle swarm optimization for global optimization

“…According to [23,24], PSO has shown a better performance than LPSO in unimodal problems and LPSO provides a good results in multimodal. Hence, both local and global topologies are applied in NP-PSO.…”

“…For example, LPSO presents a slow convergence rate in unimodal functions [23,24]. CLPSO is not a good choice for solving unimodal problems [8].…”

“…adaptive fuzzy particle swarm optimization (AFPSO) [22] proposed to adjust the parameters in PSO based on fuzzy inferences. Beheshti et al proposed the median-oriented PSO (MPSO) [23] based on the information from the median particle. Also, they introduced centripetal accelerated PSO (CAPSO) [24] according to Newton's laws of motion to accelerate the learning procedure and convergence rate of optimization problems.…”

Particle swarm optimization with dual-level task allocation

“…To address the aforementioned drawbacks, researchers have conducted many studies and introduced various approaches to improve PSO searching performance (Banks et al, 2007(Banks et al, , 2008Beheshti et al, 2013;del Valle et al, 2008;Li et al, 2012;Marinakis and Marinaki, 2013;Montes de Oca et al, 2011;Zhan et al, 2011). Nevertheless, the majority of existing PSO variants tend to restrict either the population or an individual particle to perform one type of searching mechanism (i.e., either exploration or exploitation search process).…”