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The use of global best position in rerun of particle swarm optimization
Author(s)
Cheypoca, Varothon
Siriboon, Kritawan
Kruatrachue, Boontee
Date Issued
August 13, 2018
Type
Conference Paper
Abstract
This paper studies the use of particle best position (GBEST) in rerun when particle swarm optimization (PSO) traps in local optima. Reinitialize particles positions are often used to restart PSO to get better results when trapping in local optima. This paper proposed the use of GBEST to further force particle movement out of previous local optima instead of only reset GBEST. The proposed method is tested on 26 benchmark test functions with satisfactory results.
Citation
Iceast 2018 4th International Conference on Engineering Applied Sciences and Technology Exploring Innovative Solutions for Smart Society, 2018