Representations in Genetic Algorithm for the Job Shop Scheduling Problem: A Computational Study
Tamer F. Abdelmaguid
DOI: 10.4236/jsea.2010.312135   PDF    HTML     9,797 Downloads   18,817 Views   Citations


Due to the NP-hardness of the job shop scheduling problem (JSP), many heuristic approaches have been proposed; among them is the genetic algorithm (GA). In the literature, there are eight different GA representations for the JSP; each one aims to provide subtle environment through which the GA’s reproduction and mutation operators would succeed in finding near optimal solutions in small computational time. This paper provides a computational study to compare the performance of the GA under six different representations.

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T. Abdelmaguid, "Representations in Genetic Algorithm for the Job Shop Scheduling Problem: A Computational Study," Journal of Software Engineering and Applications, Vol. 3 No. 12, 2010, pp. 1155-1162. doi: 10.4236/jsea.2010.312135.

Conflicts of Interest

The authors declare no conflicts of interest.


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