A diversified group teaching optimization algorithm with segment-based fitness strategy for unmanned aerial vehicle route planning

作者：

Highlights：

• Proposing an improved group teaching optimization algorithm for UAV route planning.

• A mathematical model of UAV route planning with various obstacles is established.

• Introducing a segment-based fitness strategy to deal with the constraints.

• Performance of the method is assessed on 3 different UAV flight environment models.

• The proposed algorithm is very competitive and superior to the compared algorithms.

摘要

•Proposing an improved group teaching optimization algorithm for UAV route planning.•A mathematical model of UAV route planning with various obstacles is established.•Introducing a segment-based fitness strategy to deal with the constraints.•Performance of the method is assessed on 3 different UAV flight environment models.•The proposed algorithm is very competitive and superior to the compared algorithms.

论文关键词：Unmanned aerial vehicle,Group teaching optimization algorithm,Three-dimensional route planning

论文评审过程：Received 3 December 2020, Revised 18 May 2021, Accepted 27 July 2021, Available online 30 July 2021, Version of Record 12 August 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115690