Achieving Balance Between Convergence and Diversity in Evolutionary Multi-Objective Optimization - Ke Li

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  • #Ke Li
  • #2016
  • #IEEE CIS Webinar Early Career Research Series
  • #Evolutionary algorithms
  • #Multiobjective evolutionary algorithms
  • #Multiobjective optimization
  • #Diversity

In this talk, Ke Li introduces his recent work on how to achieve this balance between convergence and diversity in multi-objective optimization, by designing a selection mechanism based on stable matching and an adaptive reproduction operator based on multi-armed bandits.

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  • Published on
  • October 1, 2016

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