Neighborhood global learning based flower pollination algorithm and its application to unmanned aerial vehicle path planning

作者：

Highlights：

• An innovative algorithm called NGFPA is proposed.

• It is proved theoretically that NGFPA is global convergence.

• NGFPA is successfully tested CEC2017’ functions.

• NGFPA is used to solve unmanned aerial vehicle path planning.

• Both experiments show that NGFPA is efficient and effective.

摘要

•An innovative algorithm called NGFPA is proposed.•It is proved theoretically that NGFPA is global convergence.•NGFPA is successfully tested CEC2017’ functions.•NGFPA is used to solve unmanned aerial vehicle path planning.•Both experiments show that NGFPA is efficient and effective.

论文关键词：Flower pollination algorithm,Global optimization,Premature convergence,UAV path planning

论文评审过程：Received 12 December 2019, Revised 4 November 2020, Accepted 14 December 2020, Available online 24 December 2020, Version of Record 12 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114505