A novel hybrid fuzzy–metaheuristic approach for multimodal single and multi-objective optimization problems

作者：

Highlights：

• A novel hybrid fuzzy-metaheuristic approach based on the ICA is proposed.

• Fuzzy inference systems are used for parameterization & computational cost evaluation.

• Experiments based on 22 single and 25 multi-objective benchmarks are conducted.

• Computational results show that our proposed approach has promising solution quality.

摘要

•A novel hybrid fuzzy-metaheuristic approach based on the ICA is proposed.•Fuzzy inference systems are used for parameterization & computational cost evaluation.•Experiments based on 22 single and 25 multi-objective benchmarks are conducted.•Computational results show that our proposed approach has promising solution quality.

论文关键词：Imperialist competitive algorithm,Fuzzy logic,Global learning,Single- and multi-objective optimization,Diversity estimation index,Multimodal functions

论文评审过程：Received 22 September 2019, Revised 1 November 2021, Accepted 5 November 2021, Available online 16 November 2021, Version of Record 16 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116199