期刊名称:International Journal of Computer Trends and Technology
电子版ISSN:2231-2803
出版年度:2014
卷号:13
期号:2
页码:72-77
DOI:10.14445/22312803/IJCTT-V13P116
出版社:Seventh Sense Research Group
摘要:Grid computing is the recently growing area of computing that share data, storage, computing across geographically dispersed area. This paper proposes a novel fuzzy approach using Differential Evolution (DE) for scheduling jobs oncomputational grids. The fuzzy based DE generatesan optimal plan to complete the jobs within a minimum period of time. We evaluate the performance of the proposed fuzzy based DE algorithm with GeneticAlgorithm (GA), Simulated Annealing (SA), Differential Evolution and fuzzy PSO. Experimental results have shown that the new algorithm produces more optimal solutions for the job scheduling problems compared to other algorithms.