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Determination of Guide Path of AGVs Using Genetic Algorithm

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  • URLhttps://db.koreascholar.com/Article/Detail/22177
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한국산업경영시스템학회지 (Journal of Society of Korea Industrial and Systems Engineering)
한국산업경영시스템학회 (Society of Korea Industrial and Systems Engineering)
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. Geneti

저자
  • 장석화 | Suk-Hwa Chang