Modified artificial bee colony algorithm with differential evolution to enhance precision and convergence performance
作者：
Highlights：
• A novel modified algorithm denoted “modified ABC by DE” (mABC) is introduced.
• The exploitation ability of ABC is enhanced by modifying the onlooker bee phase.
• mABC is even validated by bencmarking with recent ABC variants.
• The mean ranks of mABC are 1.4 and 2.3 for benchmark functions and CEC 2014.
• mABC outperforms the other variants averagely for 38 of 50 benchmark functions.
摘要
•A novel modified algorithm denoted “modified ABC by DE” (mABC) is introduced.•The exploitation ability of ABC is enhanced by modifying the onlooker bee phase.•mABC is even validated by bencmarking with recent ABC variants.•The mean ranks of mABC are 1.4 and 2.3 for benchmark functions and CEC 2014.•mABC outperforms the other variants averagely for 38 of 50 benchmark functions.
论文关键词：Artificial bee colony (ABC),Differential evolution (DE),Optimization algorithm,Modified ABC,Modified algorithm,Hybrid algorithm
论文评审过程：Received 5 July 2021, Revised 16 March 2022, Accepted 17 March 2022, Available online 19 March 2022, Version of Record 24 March 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116930
