Comparing inertia weights and constriction factors in particle swarm optimization
Top Cited Papers
- 7 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 84-88
- https://doi.org/10.1109/cec.2000.870279
Abstract
The performance of particle swarm optimization using an inertia weight is compared with performance using a constriction factor. Five benchmark functions are used for the comparison. It is concluded that the best approach is to use the constriction factor while limiting the maximum velocity Vmax to the dynamic range of the variable Xmax on each dimension. This approach provides performance on the benchmark functions superior to any other published results known by the authors.Keywords
This publication has 2 references indexed in Scilit:
- Particle swarm optimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- The swarm and the queen: towards a deterministic and adaptive particle swarm optimizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003