Title :
Analysis of Parallel Sub-swarm PSO with the Same Total Particle Numbers
Author :
Tzung-Pei Hong;Jui-Chi Chen;Wen-Yang Lin;Chun-Hao Chen
Author_Institution :
Dept. of Comput. Sci. &
Abstract :
In this paper, we re-visit the parallel PSO schemes and adopt a different perspective to parallelize PSO. In the adopted scheme, the original particle swarm is divided into several sub-swarms under the condition that the total particle numbers are the same, thus keeping nearly the same computational tasks. Each slave processor then individually runs a part of the sub-swarms. Experiments are also conducted to show the property and the performance of the scheme.
Keywords :
"Particle swarm optimization","Algorithm design and analysis","Computer science","Clustering algorithms","Approximation algorithms","Parallel algorithms"
Conference_Titel :
Network-Based Information Systems (NBiS), 2015 18th International Conference on
DOI :
10.1109/NBiS.2015.92