(MF)2LS: Memetic framework with memory based fuzzy local search

作者：

Highlights：

• A framework using MA is proposed to solve optimization problem.

• Guided initialization is introduced using the knowledge from datasets.

• A novel memory based fuzzy local search is incorporated to refine the solutions.

• The framework is tested using standard publicly available datasets.

摘要

•A framework using MA is proposed to solve optimization problem.•Guided initialization is introduced using the knowledge from datasets.•A novel memory based fuzzy local search is incorporated to refine the solutions.•The framework is tested using standard publicly available datasets.

论文关键词：Memetic algorithm,Optimization,Fuzzy logic,Local search,Feature selection,Class imbalance

论文评审过程：Received 21 February 2022, Revised 28 May 2022, Accepted 25 July 2022, Available online 30 July 2022, Version of Record 9 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118293