An improved firefly algorithm for global continuous optimization problems

作者：

Highlights：

• Logarithmic spiral path enhances search agents’ exploitation.

• The exploration rate is made dynamic to improve the convergence.

• The new procedure is tested by minimizing the 29 well known functions.

• The proposed optimizer is validated using the 6 real cases.

摘要

•Logarithmic spiral path enhances search agents’ exploitation.•The exploration rate is made dynamic to improve the convergence.•The new procedure is tested by minimizing the 29 well known functions.•The proposed optimizer is validated using the 6 real cases.

论文关键词：Adaptive switch,Logarithmic spiral,Firefly algorithm,Global continuous optimization

论文评审过程：Received 26 April 2019, Revised 25 February 2020, Accepted 25 February 2020, Available online 26 February 2020, Version of Record 6 March 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113340