A new and improved version of particle swarm optimization algorithm with global–local best parameters
This paper presents a new and improved version of particle swarm optimization algorithm (PSO) combining the global best and local best model, termed GLBest-PSO. The GLBest-PSO incorporates global-local best inertia weight (GLBest IW) with global-local best acceleration coefficient (GLBest Ac). The v...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SPRINGER LONDON LTD
2008
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2278/ http://shdl.mmu.edu.my/2278/1/735.pdf |