An improved global particle swarm optimization for faster optimization process
An efficient Global Particle Swarm Optimization (GPSO) is proposed in order to overcome the concern of trapping in the local optimal point especially in high dimensional while using ordinary Particle Swarm Optimization (PSO). GPSO is able to bring all the particles to be closely clumped together fas...
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| Pengarang-pengarang Utama: | , , |
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| Format: | Artikel |
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Penerbit UTM Press
2015
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| Capaian Atas Talian: | http://eprints.utm.my/57762/ http://eprints.utm.my/57762/ |
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