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 optimizationPublished in DKUM: 10.07.2015; Views: 1613; Downloads: 32 Link to full text
