Post insulator optimization based on dynamic population size

Peter Kitak (Author), Arnel Glotić (Author), Igor Tičar (Author)

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;

Data

Language:	English
Year of publishing:	2012
Typology:	1.08 - Published Scientific Conference Contribution
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
UDC:	621.311
COBISS:	16545302
Views:	1073
Downloads:	22
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
URN:	URN:SI:UM:
Type (COBISS):	Not categorized
Pages:	Str. 238-241
ID:	1439258