Scheduling Using Multi Objective Genetic Algorithm
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
Abstract : Multiprocessor task scheduling is considered to be the most important and very difficult issue. Taskscheduling is performed to match the resource requirement of the job with the available resources resulting ineffective utilization of multiprocessor systems. In this paper, a Multi Objective Genetic algorithm (MOGA) isproposed for static, non- pre-emptive scheduling problem in homogeneous fully connected multiprocessorsystems with the objective of minimizing the job completion time. The proposed GA is used to determine suitablepriorities that lead to a sub-optimal solution. Our proposed GA for a given job scheduling problem proves thatGA results in better sub-optimal solutions
Authors and Affiliations
Anu Dogra , Kritika Dhiman
Keywords
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