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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Fitness Change of Mission Scheduling Algorithm Using Genetic Theory According to the Control Constants

유전 이론을 이용한 위성 임무 스케줄링 알고리즘의 제어상수에 따른 적합도 변화 연구

  • 조겸래 (부산대학교 항공우주공학과) ;
  • 백승우 (부산대학교 항공우주공학과 대학원) ;
  • 이대우 (부산대학교 항공우주공학과)
  • Received : 2010.12.30
  • Accepted : 2010.04.19
  • Published : 2010.06.01
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Abstract

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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References

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