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Improved Genetic Algorithm for Grid Job Scheduling of Multi-QoS Constraints
Pages: 54-56,60
Year: Issue:  S1
Journal: Journal of University of Electronic Science and Technology of China

Keyword:  遗传算法 任务分配 Pareto最优 QoS约束;
Abstract: 解决好网格环境中多QoS约束条件下的独立任务调度问题是提高网格系统关键技术之一。将该类问题规约为多目标组合问题优化,以NSGA-II算法为基础,通过优化其初始种群的生成算法以及变异算子的更新算法,以期在网格多目标约束条件下寻找到较优任务调度方案。仿真实验表明,该算法的有效性和实用性。
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