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Optimized Processor Scheduling Algorithms using Genetic Algorithm Approach
MOHITA GUPTA, SAVITA GUPTA CSE Department, SKIET, Kurukshetra, India CSE Department, SKIET, Kurukshetra, India
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Abstract: Processor Scheduling implies that jobs or tasks are to be assigned to a particular processor for execution at a particular time Problem of finding an optimal schedule for a set of jobs is NP-complete. Algorithm that implement scheduling requires exponential and polynomial time to reach an optimized solution. Various optimization techniques can be used to find optimized solutions for process scheduling. Genetic Algorithm is one of the optimized solutions for process scheduling. This paper contains the review of processor scheduling algorithms and genetic algorithm to provide efficient scheduling algorithm.
Keywords: CPU Scheduling, Optimization, Genetic Algorithm, Crossover, Selection
Keywords: CPU Scheduling, Optimization, Genetic Algorithm, Crossover, Selection
How to Cite:
[1] MOHITA GUPTA, SAVITA GUPTA CSE Department, SKIET, Kurukshetra, India CSE Department, SKIET, Kurukshetra, India , βOptimized Processor Scheduling Algorithms using Genetic Algorithm Approach,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
