Yin-Yang firefly algorithm based on dimensionally Cauchy mutation
作者：
Highlights：
• Propose a new Ying-Yang firefly algorithm (YYFA) based on dimensionally Cauchy mutation.
• Initialize the fireflies by good nodes set (GNS) strategy.
• A designed randomly attraction model is used to help convergence.
• Ying-Yang firefly self-learning strategy is employed to reduce the time complexity.
• The YYFA algorithm has a competitive performance on CEC 2013 and constrained problems.
摘要
•Propose a new Ying-Yang firefly algorithm (YYFA) based on dimensionally Cauchy mutation.•Initialize the fireflies by good nodes set (GNS) strategy.•A designed randomly attraction model is used to help convergence.•Ying-Yang firefly self-learning strategy is employed to reduce the time complexity.•The YYFA algorithm has a competitive performance on CEC 2013 and constrained problems.
论文关键词：Yin-Yang firefly algorithm,Cauchy mutation,GNS strategy,Random attraction model,CEC 2013 benchmark functions,Engineering optimization problems
论文评审过程：Received 23 October 2019, Revised 2 January 2020, Accepted 16 January 2020, Available online 17 January 2020, Version of Record 15 February 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113216
