대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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유전알고리즘을 이용한 보수계획수립에 관한 연구

Maintenance Scheduling using A Genetic Algorithms with a new crossover operator

  • Jung, Jung-Won (Dept. of Electrical Engineering, Kyungsung University) ;
  • Kim, Jung-Ik (Dept. of Electrical Engineering, Kyungsung University)
  • 발행 : 1998.11.28
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초록

Maintenance scheduling is one of mid-term scheduling problems of power systems. There have been many methods for this problem, but there is no effective way to treat all the generators simultaneously except evolutionary algorithms. In this paper, we apply GA to the maintenance scheduling problem. And we proposed new crossover operator(BOX type crossover) to improve searching ability of GA. Satisfactory results are obtained by GA with proposed crossover operator.

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