Artificial bee colony algorithm with efficient search strategy based on random neighborhood structure

作者：

Highlights：

• A new random K-neighborhood structure (RNS) is designed.

• Each solution has an independent and random neighborhood size.

• An improved search strategy is designed based on RNS and ABC/best/1.

• A depth first search method is utilized to enhance the role of the onlooker bee phase.

摘要

•A new random K-neighborhood structure (RNS) is designed.•Each solution has an independent and random neighborhood size.•An improved search strategy is designed based on RNS and ABC/best/1.•A depth first search method is utilized to enhance the role of the onlooker bee phase.

论文关键词：Artificial bee colony (ABC),Swarm intelligence,Search strategy,Neighborhood search,Global optimization

论文评审过程：Received 20 March 2021, Revised 22 December 2021, Accepted 24 January 2022, Available online 1 February 2022, Version of Record 6 February 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108306