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- W2359608935 abstract "For the problems resolved with Sample Genetic Algorithm(SGA) are too simple,the job-shop scheduling problem(JSP) with alternative machines in the batch process is investigated.Three strategies to improve productivity are discussed: first,the original batch is split into many smaller batches,and every smaller batch is regarded as a single part.Second,the before-arrival setup time is separated from processing times,then the setup is prepared before the job's arrival.Finally,the jobs are transferred to successive machine while a division of batch is finished,so the latency time of the machine is reduced.Simultaneity,a new hybrid procedure is presented by combining the heuristic with Simple Genetic Algorithms.An example of scheduling is given,and the results show that the method is available and efficient." @default.
- W2359608935 created "2016-06-24" @default.
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- W2359608935 date "2007-01-01" @default.
- W2359608935 modified "2023-09-22" @default.
- W2359608935 title "Realization of Genetic Algorithm in Job-shop Scheduling Problem with Alternative Machines in Batch Process" @default.
- W2359608935 hasPublicationYear "2007" @default.
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