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The new generation of networks, distributed systems, grid computing, which allows users to share files and Users need to use different sources to provide. Grid computing system as one of the competing technologies for cloud computing can be considered to have many advantages for users. One goal of grid computing systems, the management of computing resources for processing user applications or clients So that the resulting high quality of service, lower costs and greater flexibility is. In this paper, to solve the scheduling problem in grid computing system combining genetic algorithms and algorithms of gravity is used.

A New Hybrid Algorithm to Solve the Task Scheduling Problem in Grid Computing