Elitist non-dominated sorting Harris hawks optimization: Framework and developments for multi-objective problems

作者：

Highlights：

• A novel multi-objective non-sorted Harris Hawks Optimizer (NSHHO) is proposed.

• A non-dominated ranking based on crowding distance mechanism is applied to HHO.

• A total of 46 case studies is used to check the performance of NSHHO.

• NSHHO is compared with NSGA-II, MOEA/D, and MOPSO quantitatively.

摘要

•A novel multi-objective non-sorted Harris Hawks Optimizer (NSHHO) is proposed.•A non-dominated ranking based on crowding distance mechanism is applied to HHO.•A total of 46 case studies is used to check the performance of NSHHO.•NSHHO is compared with NSGA-II, MOEA/D, and MOPSO quantitatively.

论文关键词：Multi-objective,NSHHO,MOPSO,Harris Hawks Optimizer,Non-dominated Sorting

论文评审过程：Received 28 May 2020, Revised 6 August 2021, Accepted 7 August 2021, Available online 15 August 2021, Version of Record 3 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115747