제어로봇시스템학회논문지 (Journal of Institute of Control, Robotics and Systems)

  • 제16권6호
  • /
  • Pages.572-578
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  • 2010
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  • 1976-5622(pISSN)
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  • 2233-4335(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
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유전 이론을 이용한 위성 임무 스케줄링 알고리즘의 제어상수에 따른 적합도 변화 연구

Fitness Change of Mission Scheduling Algorithm Using Genetic Theory According to the Control Constants

  • 조겸래 (부산대학교 항공우주공학과) ;
  • 백승우 (부산대학교 항공우주공학과 대학원) ;
  • 이대우 (부산대학교 항공우주공학과)
  • 투고 : 2010.12.30
  • 심사 : 2010.04.19
  • 발행 : 2010.06.01
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초록

In this paper, the final fitness results of the satellite mission scheduling algorithm, which is designed by using the genetic algorithm, are simulated and compared with respect to the control constants. Heuristic algorithms, including the genetic algorithm, are good to find global optima, however, we have to find the optimal control constants before its application to a problem, because the algorithm is strongly effected by the control constants. In this research, the satellite mission scheduling algorithm is simulated with different crossover probability and mutation probability, which is major control constant of the genetic algorithm.

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참고문헌

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피인용 문헌

  1. On Sweeping Operators for Reducing Premature Convergence of Genetic Algorithms vol.17, pp.12, 2011, https://doi.org/10.5302/J.ICROS.2011.17.12.1210