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- W2368802092 abstract "In order to solve new job-shop scheduling problem concerning the flexible process design commonly adopted in the discrete manufacturing factories,the traditional flexible job-shop scheduling problem was extended,and a mathematical model for new scheduling problem including the flexible process was established. Aiming at the simultaneity characteristic of both flexible process selection and job-shop scheduling,the genetic algorithm( GA) with the improved chromosome encoding mode and genetic operators were designed. In combination with the variable neighborhood search( VNS) algorithm,four different neighborhood structures were designed to generate the neighboring solution and improve the neighborhood search performance of GA. Finally,with taking the real scheduling data of a bearing corporation as an example,the proposed algorithm was practically tested,and compared with other existing approaches. The effectiveness of the designed algorithm is proved." @default.
- W2368802092 created "2016-06-24" @default.
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- W2368802092 date "2014-01-01" @default.
- W2368802092 modified "2023-09-23" @default.
- W2368802092 title "Solving of job-shop scheduling problem including flexible process with hybrid generic algorithm" @default.
- W2368802092 hasPublicationYear "2014" @default.
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