International Journal of Japan Association for Management Systems
Online ISSN : 2188-2460
Print ISSN : 1884-2089
ISSN-L : 1884-2089
Genetic Algorithm on Job Shop Scheduling Problem under the Batch Splitting Environment
Masatsugu SHIIHARA
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2013 Volume 5 Issue 1 Pages 1-7

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Abstract
This paper suggested improvement of the searching ability in genetic algorithm on job-shop scheduling with batch splitting. Batch splitting reduces make-span because similar batches which occur by splitting can be in processes simultaneously. However, the number of batches increases as a result of splitting the original batches. It may complicate scheduling problems. So, this paper proposed genetic algorithm on job shop scheduling considered influence by batch splitting. The algorithm generates either of an active schedule or a non-delay schedule according to a gene. It has an influence good for the searching ability because the generating ratio changes dynamically by selection. Numerical experiments show the characteristics of the proposed algorithm.
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© 2013 Japan Association for Management Systems
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