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International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

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Efficient Genetic Operators Based on Permutation Encoding Under OSPSP

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.1 Issue 1, pp 55-59,Year 2012

EFFICIENT GENETIC OPERATORS BASED ON PERMUTATION ENCODING UNDER OSPSP

Rajiv Kumar, Dr.Pardeep Goel

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Received : 05 June 2012; Accepted : 25 June 2012 ; Published : 30 June 2012

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Abstract

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

Key Words   
Genetic Algorithm,OSPSP,Operators,Scheduling.

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References
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To cite this article

Rajiv Kumar, Dr.Pardeep Goel , " Efficient Genetic Operators Based On Permutation Encoding Under Ospsp ", International Journal of Latest Research in Science and Technology . Vol. 1, Issue 1, pp 55-59 , 2012

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