A novel hybrid pso based on levy flight and wavelet mutation for global optimization

HIGHLIGHTS

• who: Yong Gao and colleagues from the Department of Electronic Engineering, Ocean University of China, Qingdao, China, Department of have published the research work: A novel hybrid PSO based on levy flight and wavelet mutation for global optimization, in the Journal: PLOS ONE
• what: The rapid loss of population diversity is one of the important reasons why the algorithm falls into early convergence. In the literature , a new hybrid particle swarm optimization method is proposed which combines wavelet theory based variational operations to enhance the performance of exploring the solution space. In this paper, a . . .
  

   

  

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