迁移工作流系统中基于Pareto的服务主体优选  

Preferential choice of service provider based on Pareto in migrating workflow system

作　　者：程秋云[1] 韩芳溪[1] 

机构地区：[1]山东大学计算机科学与技术学院,山东济南250061

出　　处：《计算机应用》2007年第2期360-362,共3页journal of Computer Applications

基　　金：山东省基金项目(003090309)

摘　　要：建立了服务主体优选的数学模型,采用Pareto遗传算法对多目标问题进行优化,给出了适用于该模型的操作算子,并提出了在最优解集中选取决策方案的算法。实验结果表明,该方案效果明显优于文献[3]中给出的解决方案。This paper combined Pareto optimization and genetic algorithm, built a mathematic model to describe the preferential choice of service provider, used the Pareto genetic algorithm to optimize the multi-objective problems, presented the suitable ways of initializing the population, selection, crossover, mutation for the model and got a Pareto optimal set. Also it gave the arithmetic for selecting the solution among optimal set according to the status of service provider. The results of experiments show that this algorithm can make the system resources more efficient than that introduced in reference [3].

关 键 词：迁移实例 服务主体 遗传算法 PARETO优化 负载平衡 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]