2015 International Conference on Condition Assessment Techniques in Electrical Systems (CATCON) 2015
DOI: 10.1109/catcon.2015.7449531
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Use of Particle Swarm Optimization in the computation of an optimal permittivity distribution in functionally graded material insulators

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Cited by 6 publications
(3 citation statements)
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“…The PSO method has the advantages of simple concept, easy realisation with only a few tuning parameters and so on. In 2015, Qasim and Gupta [42] introduced the PSO method to modify the spatial distribution of the permittivity in a spacer. The optimisation objective is shown as follows and was solved by the PSO algorithm…”
Section: Particle Swarm Optimisation (Pso)mentioning
confidence: 99%
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“…The PSO method has the advantages of simple concept, easy realisation with only a few tuning parameters and so on. In 2015, Qasim and Gupta [42] introduced the PSO method to modify the spatial distribution of the permittivity in a spacer. The optimisation objective is shown as follows and was solved by the PSO algorithm…”
Section: Particle Swarm Optimisation (Pso)mentioning
confidence: 99%
“…The PSO method has the advantages of simple concept, easy realisation with only a few tuning parameters and so on. In 2015, Qasim and Gupta [42] introduced the PSO method to modify the spatial distribution of the permittivity in a spacer. The optimisation objective is shown as follows and was solved by the PSO algorithm right leftthickmathspace.5emminF(ε)=wgtmax(Ei)+(1wgt)stddev(Ej)i{thetotalpolygons}j{nodepointsinsideinsulator} where E i is the E‐field of polygon i in and around the insulator; E j is the E‐field of node point j inside the insulator; ɛ is a vector of permittivity values of polygons inside the insulator; and wgt is a weighing factor.…”
Section: Optimising Dielectric Parameter Distributions Of Fgm Insulmentioning
confidence: 99%
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