Artificial bee colony based on adaptive search strategy and random grouping mechanism

作者：

Highlights：

• An adaptive search strategy is designed by monitoring the changes of the success rate.

• A random grouping mechanism is proposed to replace the original roulette selection.

• Opposition-based learning is employed to enhance the scout bee phase.

• Experiments are verified on 22 classical problems and 28 CEC 2013 complex problems.

• The proposed approach obtains competitive results when compared with thirteen other ABCs.

摘要

•An adaptive search strategy is designed by monitoring the changes of the success rate.•A random grouping mechanism is proposed to replace the original roulette selection.•Opposition-based learning is employed to enhance the scout bee phase.•Experiments are verified on 22 classical problems and 28 CEC 2013 complex problems.•The proposed approach obtains competitive results when compared with thirteen other ABCs.

论文关键词：Swarm intelligence,Artificial bee colony,Adaptive search strategy,Random grouping,Multiple search strategies

论文评审过程：Received 2 June 2021, Revised 21 August 2021, Accepted 26 November 2021, Available online 14 December 2021, Version of Record 21 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116332