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Title:Post insulator optimization based on dynamic population size
Authors:Kitak, Peter (Author)
Glotić, Arnel (Author)
Tičar, Igor (Author)
Files:URL http://lamp3.tugraz.at/~igte/symp12/images/stories/documents/igte12_proceedings.pdf
 
Language:English
Work type:Not categorized (r6)
Typology:1.08 - Published Scientific Conference Contribution
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:This paper suggests the use of dynamic population size throughout the optimization process which is applied on the numerical model of a medium voltage post insulator. The main objective of the dynamic population is reducing population size, to achieve faster convergence. Change of population size can be done in any iteration by proposed method. The multiobjective optimization process is based on the PSO algorithm, which is suitably modifiedin order to operate with the principle of the optimal Pareto front.
Keywords:dynamic population size, insulation elements, multi-objective optimization, particle swarm optimization
Year of publishing:2012
Number of pages:Str. 238-241
UDC:621.311
COBISS_ID:16545302 Link is opened in a new window
NUK URN:URN:SI:UM:DK:JUNQZ7LW
Views:613
Downloads:14
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Categories:Misc.
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