DOI:10.29111/ijlrst ISRA Impact Factor:3.35, Peer-reviewed, Open-access Journal
Research Paper Open Access
International Journal of Latest Research in Science and Technology Vol.1 Issue 1, pp 60-69,Year 2012
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Received : 10 June 2012; Accepted : 25 June 2012 ; Published : 30 June 2012
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Article No. | 10011 |
Present study in the paper is concerned with the development of new genetic operators to optimize the performance of the system. To improve the production facilities, a set of jobs are executed on the set of machines. For better performance there are large numbers of constraints. Process scheduling theory has been developed to meet all side constraints. Process Schedule is done in such a way that the resulting solution minimizes the given objective function. Many variants of the basic scheduling problem can be formulated by differentiating between machine environments, side constraints and objective functions. Genetic algorithm have been applied to OSPSP. The study shows that proposed operators shows better results
Copyright © 2012 Rajiv Kumar et al. This is an open access article distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Rajiv Kumar , " A Critical Study Of Genetic Algorithm?s Selection Operators Under Operating System Process Scheduling Problem ", International Journal of Latest Research in Science and Technology . Vol. 1, Issue 1, pp 60-69 , 2012
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