A knowledge‐supported improvement of the PSO method

DOI10.1108/03321641311305773zbMath1276.90087OpenAlexW2056473778MaRDI QIDQ2842720

Kamil Senel, Yagmur Denizhan, Deniz Sevis

Publication date: 16 August 2013

Published in: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/03321641311305773

zbMATH Keywords

searchingparticle swarm optimizationoptimization techniquesfractional-order PID tuningknowledge-supported searchsingle-layer perceptron training

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Cites Work

• A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
• Extending the root-locus method to fractional-order systems
• On fractional \(PI^{\lambda }\) controllers: Some tuning rules for robustness to plant uncertainties
• Fractional PID Controllers for Industry Application. A Brief Introduction
• Fractional-order systems and PI/sup /spl lambda//D/sup /spl mu//-controllers
• On the Nonasymptotic Convergence of Cyclic Coordinate Descent Methods
• Minimizing Certain Convex Functions