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Comparative Analysis of Parameter Setting of GA under Operating System Process Scheduling Problem (OSPSP)

Author(s): Rajiv Kumar

Journal: Journal of Current Engineering Research
ISSN 2250-2637

Volume: 2;
Issue: 1;
Date: 2012;
Original page

Keywords: Genetic Algorithm | OSPSP | Parameter setting | NP-hard | Scheduling | GAPSS.

Many research work have been done in the field of scheduling of different domain. Implementation of genetic algorithm for operating system process scheduling is the application of Genetic algorithm. Genetic Algorithm is a robust technique for solve process scheduling and optimization problem. There are many type of genetic algorithms have been developed from simple genetic algorithm to complex parallel genetic algorithm. The performance of any genetic algorithm is depended on its parameter setting. In the present work parameter setting of GA has been studied under OSPSP. For the experimental study of parameter setting GA based process scheduling simulator (GAPSS) have been developed. Compared Parameter setting is based on permutation encoding and binary encoding techniques. Mostly Permutation encoding technique is used to represent the scheduling problem. Comparative study shows that Permutation encoding based parameter setting is better that of binary encoding based parameter setting.
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