Symbiotic organisms search algorithm: Theory, recent advances and applications

作者：

Highlights：

• Exhaustive study of the classical symbiotic organisms search algorithm.

• A systematic review of symbiotic organisms search algorithm variants and hybrid algorithms.

• Presentation of the various application areas of SOS algorithm.

• Suggestions for further development and possible areas of improvement.

• Recommendations for novel application areas for the SOS algorithm.

摘要

•Exhaustive study of the classical symbiotic organisms search algorithm.•A systematic review of symbiotic organisms search algorithm variants and hybrid algorithms.•Presentation of the various application areas of SOS algorithm.•Suggestions for further development and possible areas of improvement.•Recommendations for novel application areas for the SOS algorithm.

论文关键词：Symbiotic organisms search algorithm,Swarm intelligence,Metaheuristic algorithms,Optimization

论文评审过程：Received 27 May 2018, Revised 31 August 2018, Accepted 26 October 2018, Available online 28 October 2018, Version of Record 3 November 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.10.045