A reactive model based on neighborhood consensus for continuous optimization

作者：

Highlights：

• The proposed algorithm considers a double pair of evolutionary operators.

• The proposed approach uses local consensus formulations with reactive responses.

• The proposed method guarantees leaderless movement decisions.

• The proposed algorithm outperforms several evolutionary methods.

摘要

•The proposed algorithm considers a double pair of evolutionary operators.•The proposed approach uses local consensus formulations with reactive responses.•The proposed method guarantees leaderless movement decisions.•The proposed algorithm outperforms several evolutionary methods.

论文关键词：Multi-agent systems,Reactive response,Meta-heuristic,Optimization

论文评审过程：Received 12 August 2018, Revised 18 October 2018, Accepted 10 December 2018, Available online 11 December 2018, Version of Record 18 December 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.018