Scheduling of mold manufacturing based on the self-adaptive genetic algorithm - 文章详情页

作者：

Liu, Zhifeng (Liu, Zhifeng.) (学者：刘志峰) | Liao, Linghao (Liao, Linghao.) | Yang, Wentong (Yang, Wentong.) | Wang, Jianhua (Wang, Jianhua.) | Cai, Ligang (Cai, Ligang.) (学者：蔡力钢)

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摘要：

An　algorithm　for　mold　enterprises＇　job-shop　scheduling　based　on　the　self-adaptive　genetic　algorithm　was　studied.　The　scheduling　model　was　established　and　the　design　of　the　specific　genetic　operator　was　given.　Considering　the　discrete　mold　production＇s　process　features,　the　method　for　production　units＇　distribution　and　scheduling　was　established.　The　algorithm　improved　the　working　procedure-based　encoding　method　and　gave　a　dynamic　calculation　method　about　crossover　probability　and　mutation　probability.　The　result　of　the　actual　mold　enterprise＇s　job　shop　scheduling　shows　the　modeling　method＇s　feasibility　and　effectiveness　in　its　application.

关键词：

Genetic algorithms Job shop scheduling Manufacture Molds Scheduling

作者机构：

[ 1 ] [Liu, Zhifeng]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Liao, Linghao]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Yang, Wentong]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Wang, Jianhua]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
[ 5 ] [Cai, Ligang]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

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liaolinghao@126.com

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