Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering

作者：

Highlights：

• QDM-PSO algorithm is the first time proposed for complex network clustering.

• The non-dominant sorting operation is employed for individual replacement.

• QDM-PSO algorithm is effective for large-scale networks.

摘要

Highlights•QDM-PSO algorithm is the first time proposed for complex network clustering.•The non-dominant sorting operation is employed for individual replacement.•QDM-PSO algorithm is effective for large-scale networks.

论文关键词：Multi-objective optimization,Quantum,Discrete particle swarm optimization,Complex networks,Clustering

论文评审过程：Received 10 March 2015, Revised 15 June 2016, Accepted 19 September 2016, Available online 21 September 2016, Version of Record 28 September 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.09.013