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CEC
2005
IEEE

Dynamic multi-swarm particle swarm optimizer with local search

14 years 5 months ago
Dynamic multi-swarm particle swarm optimizer with local search
—In this paper, the performance of dynamic multi-swarm particle swarm optimizer (DMS-PSO) on the set of benchmark functions provided for the CEC2008 Special Session on Large Scale optimization is reported. Different from the existing multi-swarm PSOs and local versions of PSO, the sub-swarms are dynamic and the sub-swarms’ size is very small. The whole population is divided into a large number sub-swarms, these sub-swarms are regrouped frequently by using various regrouping schedules and information is exchanged among the particles in the whole swarm. The Quasi-Newton method is combined to improve its local searching ability.
Jing J. Liang, Ponnuthurai N. Suganthan
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where CEC
Authors Jing J. Liang, Ponnuthurai N. Suganthan
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