Hybrid slime mould algorithm with adaptive guided differential evolution algorithm for combinatorial and global optimization problems

作者：

Highlights：

• SMA-AGDE method is proposed for solving various optimization problems.

• The algorithm performance is verified on CEC’17 benchmark.

• The method performance is verified on 3 engineering and 2 combinatorial problems.

• Efficiency of the proposed method is compared with many metaheuristics.

摘要

•SMA-AGDE method is proposed for solving various optimization problems.•The algorithm performance is verified on CEC’17 benchmark.•The method performance is verified on 3 engineering and 2 combinatorial problems.•Efficiency of the proposed method is compared with many metaheuristics.

论文关键词：Adaptive guided differential evolution algorithm (AGDE),Combinatorial optimization problems,Engineering design problems,Exploration and exploitation,Global optimization problems,Metaheuristics,Slime mould algorithm (SMA)

论文评审过程：Received 11 December 2020, Revised 27 January 2021, Accepted 1 February 2021, Available online 13 February 2021, Version of Record 13 March 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114689