MOSOA: A new multi-objective seagull optimization algorithm

作者：

Highlights：

• A novel Multi-objective Seagull Optimization Algorithm is proposed.

• The algorithm is tested on 24 real challenging benchmark test function.

• The results show the superior convergence behaviour of proposed algorithm.

• The results on engineering design problems prove its efficiency and applicability.

摘要

•A novel Multi-objective Seagull Optimization Algorithm is proposed.•The algorithm is tested on 24 real challenging benchmark test function.•The results show the superior convergence behaviour of proposed algorithm.•The results on engineering design problems prove its efficiency and applicability.

论文关键词：Convergence,Diversity,Pareto Solutions,Multi-objective Optimization,Seagull Optimization Algorithm,Engineering Design Problems

论文评审过程：Received 22 October 2019, Revised 14 September 2020, Accepted 22 October 2020, Available online 9 November 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114150