A New Dynamical Particle Swarm Optimization Based on Principle Free Entropy Minimization

Abstract

One of the primary complaints toward particle swarm optimization (PSO) is the occurrence of premature convergence because the diversity of the particles rapidly comedown. In order to improve diversity of the particles, a dynamical particle swarm optimization (DPSO) is proposed for global optimization, which adds a memory mechanism conceptually derived from… (More)
DOI: 10.1109/ICNC.2009.280

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Cite this paper

@article{Shen2009AND, title={A New Dynamical Particle Swarm Optimization Based on Principle Free Entropy Minimization}, author={Xianjun Shen and Fan Chen and Tingting He and Zhifeng Chi and Caixia Chen}, journal={2009 Fifth International Conference on Natural Computation}, year={2009}, volume={5}, pages={322-326} }