A multiobjective evolutionary algorithm for optimizing the small-world property

HIGHLIGHTS

• What: Even though, the main objective function is still the minimum of APL. The authors propose a novel algorithm to optimize small-world property based on a multiobjective evolutionary algorithm with decomposition, termed as MOEA/D-SW, which simultaneously optimize the two objectives, ACC and APL. The authors propose an algorithm for optimizing small-world property based on MOEA/D-SW, which can be more effective than traditional algorithms despite of single-objective or multi-objective optimization. This research has prompted a list of studies focusing on adding shortcuts to improve diffusion efficiency .
• Who: Ruochen . . .
  

   

  

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