Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis

作者：

Highlights：

• A sine cosine-based FOA (SCA_FOA) is proposed.

• A comprehensive set of benchmark functions are involved for comparison.

• The effectiveness of SCA_FOA is confirmed over the state-of-the-art algorithms.

• SCA_FOA is also tested over practical problems from IEEE CEC 2011.

摘要

•A sine cosine-based FOA (SCA_FOA) is proposed.•A comprehensive set of benchmark functions are involved for comparison.•The effectiveness of SCA_FOA is confirmed over the state-of-the-art algorithms.•SCA_FOA is also tested over practical problems from IEEE CEC 2011.

论文关键词：Fruit fly optimization algorithm,Sine cosine algorithm,Global optimization,Swarm intelligence,Kernel extreme learning machine

论文评审过程：Received 20 November 2019, Revised 25 April 2020, Accepted 25 April 2020, Available online 29 April 2020, Version of Record 12 May 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113486