An adaptive neighborhood-based search enhanced artificial ecosystem optimizer for UCAV path planning

作者：

Highlights：

• An innovative algorithm called NSEAEO is proposed.

• The NSEAEO is compared with recent state-of-the-art algorithms.

• The NSEAEO is used to solve UCAV path planning on the sea.

• All results show that NSEAEO is efficient and effective.

摘要

•An innovative algorithm called NSEAEO is proposed.•The NSEAEO is compared with recent state-of-the-art algorithms.•The NSEAEO is used to solve UCAV path planning on the sea.•All results show that NSEAEO is efficient and effective.

论文关键词：Unmanned combat aerial vehicle,Path planning,Artificial ecosystem optimizer,Adaptive neighborhood,Novel decomposition mechanism,Quadratic interpolation operator

论文评审过程：Received 17 February 2022, Revised 23 June 2022, Accepted 1 July 2022, Available online 5 July 2022, Version of Record 18 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118047