A particle swarm optimization using local stochastic search and enhancing diversity for continuous optimization

The particle swarm optimizer (PSO) is a swarm intelligence based on heuristic optimization technique that can be applied to a wide range of problems. After analyzing the dynamics of traditional PSO, this paper presents a new PSO variant on the basis of local stochastic search strategy (LSSPSO) for p...

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Veröffentlicht in:	Neurocomputing (Amsterdam) 2014-08, Vol.137, p.261-267
Hauptverfasser:	Ding, Jianli, Liu, Jin, Chowdhury, Kaushik Roy, Zhang, Wensheng, Hu, Qiping, Lei, Jeff
Format:	Artikel
Sprache:	eng
Schlagworte:	Continuous optimization problems Convergence Diversity Dynamic tests Local stochastic search Optimization Particle swarm optimization Performance enhancement Searching Stochasticity Strategy Swarm intelligence
Online-Zugang:	Volltext
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