A Stochastic Scattering Particle Swarm Optimizer
文献类型：会议论文
| 作者 | Ke Xu; Lei Zhang; Ruiqing Fu; Yongsheng Ou; Yangsheng Xu |
| 出版日期 | 2010 |
| 会议名称 | 2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010 |
| 会议地点 | Tianjin, China |
| 英文摘要 | The particle swarm optimization (PSO) algorithm is a swarm intelligence technique, which has exhibited good performance on finding optimalregions of complex search spaces. However, the basic PSO (bPSO) suffers from the premature convergence in multi-modal optimization. This is due to a decease of swarm diversity that leads to the global implosion and stagnation. It is an acceptable hypothesis that maintaining a high diversity produces a good effect on the search performance of the PSO algorithms. In this paper, we propose a novel optimizer, called the stochasticscattering particle swarm optimizer (SSPSO), which tries to overcome the premature convergence through scattering the swarm stochastically, with a new and simple diversity measure. The performance of the SSPSO is compared with the bPSO on a set of benchmark functions. Experimental results show that, the SSPSO not only prevents the premature convergence to a high degree, but also keeps a rapid convergence rate. Thus, it is clearly a better substitute for the bPSO and other repulsion-based PSO algorithms |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2891]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2010 |
| 推荐引用方式 GB/T 7714 | Ke Xu,Lei Zhang,Ruiqing Fu,et al. A Stochastic Scattering Particle Swarm Optimizer[C]. 见:2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010. Tianjin, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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