Analytical and empirical study of particle swarm optimization with a sigmoid decreasing inertia weight
The particle swarm optimization (PSO) is an algorithm for finding optimal regions of complex search space through interaction of individuals in a population of particles. Search is conducted by moving particles in the space. Some methods area attempted to improve performance of PSO since is founded,...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
School of Postgraduate Studies, UTM
2006
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/1690/1/sham06_Analytical_study.pdf |