Enhancing grasshopper optimization algorithm (goa) with levy flight for engineering applications

HIGHLIGHTS

• who: Lei Wu from the College North China University of have published the article: Enhancing grasshopper optimization algorithm (GOA) with levy flight for engineering applications, in the Journal: Scientific Reports Scientific Reports of 21/09/2022
• what: The study shows that the distribution probability density function of the variation of the Levy`s flight step can be approximated as follows: L(s) ~ |s|-1-u03b8. The main reason behind the effectiveness of LFGOA is that the Levy flight based jumps can effectively redistribute the search agents to enhance their diversity and to emphasize more explorative . . .
  

   

  

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