The defect of the Grey Wolf optimization algorithm and its verification method

作者：

Highlights：

• Grey wolf optimization algorithm is the object of study.

• Defect of GWO is pointed out and the reason is determined.

• Other optimization algorithms may have a similar defect.

• The test method is proposed, and it works well.

• Looking forward to the further development of optimization algorithms.

摘要

•Grey wolf optimization algorithm is the object of study.•Defect of GWO is pointed out and the reason is determined.•Other optimization algorithms may have a similar defect.•The test method is proposed, and it works well.•Looking forward to the further development of optimization algorithms.

论文关键词：Meta-heuristic,Gray Wolf optimization algorithm,Optimization algorithm,Defect,New verification method

论文评审过程：Received 8 September 2018, Revised 8 December 2018, Accepted 11 January 2019, Available online 1 February 2019, Version of Record 12 March 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.01.018