Grid computing is the recently growing area of computing that share data,storage, computing across geographically dispersed area. This paper proposes anovel fuzzy approach using Differential Evolution (DE) for scheduling jobs oncomputational grids. The fuzzy based DE generates an optimal plan to completethe jobs within a minimum period of time. We evaluate the performance of theproposed fuzzy based DE algorithm with Genetic Algorithm (GA), SimulatedAnnealing (SA), Differential Evolution and fuzzy PSO. Experimental results haveshown that the new algorithm produces more optimal solutions for the jobscheduling problems compared to other algorithms.
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