Entrotaxis-Jump as a hybrid search algorithm for seeking an unknown emission source in a large-scale area with road network constraint

作者：

Highlights：

• A hybrid autonomous search algorithm called Entrotaxis-Jump is proposed.

• Seeking an unknown emission source in large-scale area with road network constraint.

• The cognitive search algorithm is combined with the intermittent strategy.

• A real chemical cluster in China is selected as the typical research area.

摘要

•A hybrid autonomous search algorithm called Entrotaxis-Jump is proposed.•Seeking an unknown emission source in large-scale area with road network constraint.•The cognitive search algorithm is combined with the intermittent strategy.•A real chemical cluster in China is selected as the typical research area.

论文关键词：Source seeking,Autonomous search,Road network constraint,Bayesian inference,Intermittent search strategy,Entrotaxis-Jump algorithm

论文评审过程：Received 12 December 2019, Revised 18 March 2020, Accepted 25 April 2020, Available online 1 May 2020, Version of Record 19 May 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113484