Self-adaptive Equilibrium Optimizer for solving global, combinatorial, engineering, and Multi-Objective problems

作者：

Highlights：

• An enhanced algorithm called the self-EO that employs three strategies is proposed.

• Self-EO efficiency and performance are verified on several benchmarks.

• CEC’20 suite and 3 engineering problems are used for algorithm validation.

• Two combinatorial problems, and ten CEC’20 multi-objective problems are solved.

• Self-EO performance is analyzed with many metrics and compared to 30 algorithms.

摘要

•An enhanced algorithm called the self-EO that employs three strategies is proposed.•Self-EO efficiency and performance are verified on several benchmarks.•CEC’20 suite and 3 engineering problems are used for algorithm validation.•Two combinatorial problems, and ten CEC’20 multi-objective problems are solved.•Self-EO performance is analyzed with many metrics and compared to 30 algorithms.

论文关键词：Equilibrium Optimizer,Enhanced Equilibrium Optimizer (self-EO),Multi-Objective self-EO (MO-self-EO),Engineering design problems,Combinatorial optimization problems,Metaheuristic algorithms (MAs)

论文评审过程：Received 23 November 2021, Revised 3 January 2022, Accepted 14 January 2022, Available online 1 February 2022, Version of Record 8 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116552