Empowering particle swarm optimization algorithm using multi agents’ capability: A holonic approach
作者：
Highlights：
• A new PSO variant, i.e., Holonic–PSO is proposed to balance exploration/exploitation.
• By considering PSO algorithm as a simple multi agent system, holonic organization is used to improve the efficiency of this algorithm.
• Using holonic organization balances local/global search and helps to avoid premature convergence and trapping in local optimums.
• Results show that Holonic–PSO outperforms other PSO variants.
摘要
•A new PSO variant, i.e., Holonic–PSO is proposed to balance exploration/exploitation.•By considering PSO algorithm as a simple multi agent system, holonic organization is used to improve the efficiency of this algorithm.•Using holonic organization balances local/global search and helps to avoid premature convergence and trapping in local optimums.•Results show that Holonic–PSO outperforms other PSO variants.
论文关键词：Particle swarm optimization,Multi agent systems,Holonic structure
论文评审过程：Received 7 October 2016, Revised 28 August 2017, Accepted 31 August 2017, Available online 21 September 2017, Version of Record 4 October 2017.
论文官网地址：https://doi.org/10.1016/j.knosys.2017.08.023
