Improvement of Particle Swarm Optimization Based on Neighborhood Cognizance and Swarm Decision

The original PSO usually converges prematurely, and falls into the local optimal solution. Aimed at the shortcoming of PSO, this paper put forward Improved PSO based on neighborhood cognizance (NCPSO) and improved NCPSO based on Swarm Decision (SDNCPSO). These two improved PSO can reduce the possibi...

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Hauptverfasser: Zhu, Meijie, Liu, Hanxing, Sun, Weiwei, Zhu, Tonglin
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:The original PSO usually converges prematurely, and falls into the local optimal solution. Aimed at the shortcoming of PSO, this paper put forward Improved PSO based on neighborhood cognizance (NCPSO) and improved NCPSO based on Swarm Decision (SDNCPSO). These two improved PSO can reduce the possibility of converging prematurely. The results of experiment prove that these two improved PSO can improve the performance of global convergence in PSO and make PSO converge to global optimal solution faster.
ISSN:2161-9646
DOI:10.1109/WICOM.2007.907