Dynamic algorithm for fitness function greatly improves the optimization efficiency of frequency selective surface for better design of radar

HIGHLIGHTS

  • who: Yuan Pei from the State Key LaboratoryFudan University have published the paper: Dynamic algorithm for fitness function greatly improves the optimization efficiency of frequency selective surface for better design of radar, in the Journal: Scientific Reports Scientific Reports
  • what: The authors design three diverse groups of performance requirements for further study, from the difficult to achieve (strict requirements) to easy to achieve (loose requirements). To verify the effectiveness of the new dynamic algorithm, the authors compare it with the fixed weighted fitness function and Particle Swarm Optimization (PSO) algorithm for FSS u00addesign23. In the . . .

     

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