Success history applied to expert system for underwater glider path planning using differential evolution

作者：

Highlights：

• Improved underwater glider path planning mission scenarios optimization with L-SHADE.

• New proposed algorithm yielded stable and competitive output trajectories.

• Outranked all other previous results from literature and ranked first in comparison.

• Several configured algorithms are also compared to, analysed, and further improved.

摘要

•Improved underwater glider path planning mission scenarios optimization with L-SHADE.•New proposed algorithm yielded stable and competitive output trajectories.•Outranked all other previous results from literature and ranked first in comparison.•Several configured algorithms are also compared to, analysed, and further improved.

论文关键词：Differential evolution,Linear population size reduction,Success-history based parameter adaptation,L-SHADE,Underwater glider path planning

论文评审过程：Received 15 September 2017, Revised 25 October 2018, Accepted 27 October 2018, Available online 30 October 2018, Version of Record 3 November 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.10.048