Abstract: In order to provide high quality of service，rational scheduling and resource allocation are needed when a great many of tasks requesting grid resources.By quantifying some important properties of Grid QoS and maximizing cost-performance ratio of the system，it provides a grid resource selection optimization model based on GASA，and introduces the flow of the algorithm.Finally，it testifies the validity of this model by an emulation experiment.

摘要： 大量任务请求使用网格资源时，必须进行合理调度和资源分配才能提供较高的服务质量。通过对网格QoS几个重要属性进行量化，以最大化系统服务性价比为目标，提出了一种基于退火遗传算法的网格资源选择优化模型，并介绍了算法的详细流程。最后，通过仿真实验验证了该模型的有效性。