A reinforcement learning based artificial bee colony algorithm with application in robot path planning

作者：

Highlights：

• A reinforcement learning based artificial bee colony algorithm is proposed.

• The frequency of perturbation is adjusted intelligently.

• Two enhanced solution search equations are developed.

• A type of heavy-tailed distribution is used to improve randomness.

• Experiments and application show nice performance of the proposed ABC_RL algorithm.

摘要

•A reinforcement learning based artificial bee colony algorithm is proposed.•The frequency of perturbation is adjusted intelligently.•Two enhanced solution search equations are developed.•A type of heavy-tailed distribution is used to improve randomness.•Experiments and application show nice performance of the proposed ABC_RL algorithm.

论文关键词：Artificial bee colony algorithm,Reinforcement learning,Mittag-Leffler distribution,Differential search equation,Robot path planning

论文评审过程：Received 30 September 2021, Revised 13 April 2022, Accepted 25 April 2022, Available online 6 May 2022, Version of Record 13 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117389