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Multiobjective Optimization Using Simulated Annealing

  • 이선영 (한국과학기술원 전자전산학부 전기및전자) ;
  • 박철훈 (한국과학기술원 전자전산학부 전기및전자)
  • Lee, Sun-Young (Division of Electrical Engineering School of Electrical Engineering and Computer Science KAIST) ;
  • Park, Cheol-Hoon (Division of Electrical Engineering School of Electrical Engineering and Computer Science KAIST)
  • 발행 : 2008.06.18

초록

In this paper, we suggest a new multiobjective optimization algorithm which is based on the simulated annealing(SA) method. The proposed algorithm uses population-based simulated annealing and adapts elitism in the process of selection.

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