Boosted hunting-based fruit fly optimization and advances in real-world problems

作者：

Highlights：

• An improved Fruit Fly Optimization Algorithm (WFOA) is proposed.

• Whale hunting strategy is integrated into the original FOA.

• The greater performance of WFOA is verified over a set of advanced algorithms.

• WFOA is rigorously validated on CEC2014 and CEC2011 functions.

摘要

•An improved Fruit Fly Optimization Algorithm (WFOA) is proposed.•Whale hunting strategy is integrated into the original FOA.•The greater performance of WFOA is verified over a set of advanced algorithms.•WFOA is rigorously validated on CEC2014 and CEC2011 functions.

论文关键词：Fruit fly optimization algorithm,Whale optimization algorithm,Swarm intelligence,Global optimization

论文评审过程：Received 28 January 2020, Revised 12 April 2020, Accepted 30 April 2020, Available online 11 May 2020, Version of Record 4 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113502