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,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
School of Postgraduate Studies, UTM
2006
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/1690/1/sham06_Analytical_study.pdf http://eprints.utm.my/id/eprint/1690/ |
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