Hybrid non-parametric particle swarm optimization and its stability analysis

作者：

Highlights：

• A hybrid non-parametric particle swarm optimization is proposed.

• The first- and second-order stability analyses conducted for the present study.

• An exemplar-based learning strategy is combined with the proposed algorithm.

• The proposal yields better solution accuracy than the other PSO techniques.

• The proposal outperforms the other PSO approaches in terms of the convergence speed.

摘要

•A hybrid non-parametric particle swarm optimization is proposed.•The first- and second-order stability analyses conducted for the present study.•An exemplar-based learning strategy is combined with the proposed algorithm.•The proposal yields better solution accuracy than the other PSO techniques.•The proposal outperforms the other PSO approaches in terms of the convergence speed.

论文关键词：Particle swarm optimization,Hybrid algorithm,Parameter selection,Stability analysis

论文评审过程：Received 18 May 2017, Revised 8 August 2017, Accepted 9 September 2017, Available online 22 September 2017, Version of Record 29 September 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.012