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- W2374699993 abstract "As a kind of typical problem in production scheduling,the solving of Job-shop problem belongs to NP complete and the valid algorithm hasn't been found until now for large scale Job-shop problems.The feasible scheduling can be obtained by adding guided constraint on the basis of directed graph. A method based on least squares support vector machine is constructed to choose accurately the interchangeable operations by learning small samples to obtain the better scheduling.The performance of the algorithm presented can be improved by replenishing special problems during running as supplementary samples for the follow ing training.The results of simulation show that the algorithm performed w ell for Job-shop problem." @default.
- W2374699993 created "2016-06-24" @default.
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- W2374699993 date "2011-01-01" @default.
- W2374699993 modified "2023-09-25" @default.
- W2374699993 title "An Algorithm Based on Least Squares Support Vector Machine for Job-shop Problem" @default.
- W2374699993 hasPublicationYear "2011" @default.
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