산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering)

  • 제26권4호
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  • Pages.23-30
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  • 2003
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  • 2005-0461(pISSN)
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  • 2287-7975(eISSN)
한국산업경영시스템학회 (Society of Korea Industrial and System Engineering)
권호 표지

유전 알고리듬을 이용한 무인운반차시스템의 운반경로 결정

Determination of Guide Path of AGVs Using Genetic Algorithm

  • 장석화 (인천대학교 산업공학과)
  • 발행 : 2003.12.01
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초록

This study develops an efficient heuristic which is based on genetic approach for AGVs flow path layout problem. The suggested solution approach uses a algorithm to replace two 0-1 integer programming models and a branch-and-bound search algorithm. Genetic algorithms are a class of heuristic and optimization techniques that imitate the natural selection and evolutionary process. The solution is to determine the flow direction of line in network AGVs. The encoding of the solutions into binary strings is presented, as well as the genetic operators used by the algorithm. Genetic algorithm procedure is suggested, and a simple illustrative example is shown to explain the procedure.

키워드

참고문헌

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